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| probability in electrical engineering & computer science by walrand: Probability in Electrical Engineering and Computer Science Jean Walrand, 2021-06-22 This revised textbook motivates and illustrates the techniques of applied probability by applications in electrical engineering and computer science (EECS). The author presents information processing and communication systems that use algorithms based on probabilistic models and techniques, including web searches, digital links, speech recognition, GPS, route planning, recommendation systems, classification, and estimation. He then explains how these applications work and, along the way, provides the readers with the understanding of the key concepts and methods of applied probability. Python labs enable the readers to experiment and consolidate their understanding. The book includes homework, solutions, and Jupyter notebooks. This edition includes new topics such as Boosting, Multi-armed bandits, statistical tests, social networks, queuing networks, and neural networks. For ancillaries related to this book, including examples of Python demos and also Python labs used in Berkeley, please email Mary James at mary.james@springer.com. This is an open access book. |
| probability in electrical engineering & computer science by walrand: Communication Networks Jean Walrand, Shyam Parekh, 2022-05-31 This book results from many years of teaching an upper division course on communication networks in the EECS department at the University of California, Berkeley. It is motivated by the perceived need for an easily accessible textbook that puts emphasis on the core concepts behind current and next generation networks. After an overview of how today's Internet works and a discussion of the main principles behind its architecture, we discuss the key ideas behind Ethernet, WiFi networks, routing, internetworking, and TCP. To make the book as self-contained as possible, brief discussions of probability and Markov chain concepts are included in the appendices. This is followed by a brief discussion of mathematical models that provide insight into the operations of network protocols. Next, the main ideas behind the new generation of wireless networks based on LTE, and the notion of QoS are presented. A concise discussion of the physical layer technologies underlying various networks is alsoincluded. Finally, a sampling of topics is presented that may have significant influence on the future evolution of networks, including overlay networks like content delivery and peer-to-peer networks, sensor networks, distributed algorithms, Byzantine agreement, source compression, SDN and NFV, and Internet of Things. |
| probability in electrical engineering & computer science by walrand: High-Performance Communication Networks Jean Walrand, Pravin Varaiya, 1999-10-25 By focusing on the convergence of the telephone, computer networking, cable TV, and wireless industries, this fully revised second edition explains current and emerging networking technologies. The authors proceed from fundamental principles to develop a comprehensive understanding of network architectures, protocols, control, performance, and economics. Communications engineers, computer scientists, and network administrators and managers will appreciate the book for its perspectives on the innovations that impact their work. Students will be enriched by the descriptive and thorough coverage of networking, giving them the knowledge to explore rewarding career opportunities.* Provides the most recent information on * wide and local area networks, including WDM and optical networks, Fast and Gigabit Ethernets* access networks, such as cable modems and DSL;* approaches for quality-differentiated services in IP and ATM networks.* Examines the Internet, including proposed advances for improved performance and quality of service.* Presents a comprehensive discussion of wireless networks for voice and data.* Explains the economic factors and technical tradeoffs that guide network development.* Derives (in self-contained sections) the most important mathematical results of network performance |
| probability in electrical engineering & computer science by walrand: Probability for Information Technology Changho Suh, 2024-11-17 This book introduces probabilistic modelling and explores its role in solving a broad spectrum of engineering problems that arise in Information Technology (IT). Divided into three parts, it begins by laying the foundation of basic probability concepts such as sample space, events, conditional probability, independence, total probability law and random variables. The second part delves into more advanced topics including random processes and key principles like Maximum A Posteriori (MAP) estimation, the law of large numbers and the central limit theorem. The last part applies these principles to various IT domains like communication, social networks, speech recognition, and machine learning, emphasizing the practical aspect of probability through real-world examples, case studies, and Python coding exercises. A notable feature of this book is its narrative style, seamlessly weaving together probability theories with both classical and contemporary IT applications. Each concept is reinforced with tightly-coupled exercise sets, and the associated fundamentals are explored mostly from first principles. Furthermore, it includes programming implementations of illustrative examples and algorithms, complemented by a brief Python tutorial. Departing from traditional organization, the book adopts a lecture-notes format, presenting interconnected themes and storylines. Primarily tailored for sophomore-level undergraduates, it also suits junior and senior-level courses. While readers benefit from mathematical maturity and programming exposure, supplementary materials and exercise problems aid understanding. Part III serves to inspire and provide insights for students and professionals alike, underscoring the pragmatic relevance of probabilistic concepts in IT. |
| probability in electrical engineering & computer science by walrand: Random Processes with Applications to Circuits and Communications Bernard C. Levy, 2019-09-14 This textbook is based on 20 years of teaching a graduate-level course in random processes to a constituency extending beyond signal processing, communications, control, and networking, and including in particular circuits, RF and optics graduate students. In order to accommodate today’s circuits students’ needs to understand noise modeling, while covering classical material on Brownian motion, Poisson processes, and power spectral densities, the author has inserted discussions of thermal noise, shot noise, quantization noise and oscillator phase noise. At the same time, techniques used to analyze modulated communications and radar signals, such as the baseband representation of bandpass random signals, or the computation of power spectral densities of a wide variety of modulated signals, are presented. This book also emphasizes modeling skills, primarily through the inclusion of long problems at the end of each chapter, where starting from a description of the operation of a system, a model is constructed and then analyzed. Provides semester-length coverage of random processes, applicable to the analysis of electrical and computer engineering systems; Designed to be accessible to students with varying backgrounds in undergraduate mathematics and engineering; Includes solved examples throughout the discussion, as well as extensive problem sets at the end of every chapter; Develops and reinforces student’s modeling skills, with inclusion of modeling problems in every chapter; Solutions for instructors included. |
| probability in electrical engineering & computer science by walrand: Sharing Network Resources Abhey Parekh, Jean Walrand, 2022-06-01 Resource Allocation lies at the heart of network control. In the early days of the Internet the scarcest resource was bandwidth, but as the network has evolved to become an essential utility in the lives of billions, the nature of the resource allocation problem has changed. This book attempts to describe the facets of resource allocation that are most relevant to modern networks. It is targeted at graduate students and researchers who have an introductory background in networking and who desire to internalize core concepts before designing new protocols and applications. We start from the fundamental question: what problem does network resource allocation solve? This leads us, in Chapter 1, to examine what it means to satisfy a set of user applications that have different requirements of the network, and to problems in Social Choice Theory. We find that while capturing these preferences in terms of utility is clean and rigorous, there are significant limitations to this choice. Chapter 2 focuses on sharing divisible resources such as links and spectrum. Both of these resources are somewhat atypical -- a link is most accurately modeled as a queue in our context, but this leads to the analytical intractability of queueing theory, and spectrum allocation methods involve dealing with interference, a poorly understood phenomenon. Chapters 3 and 4 are introductions to two allocation workhorses: auctions and matching. In these chapters we allow the users to game the system (i.e., to be strategic), but don't allow them to collude. In Chapter 5, we relax this restriction and focus on collaboration. Finally, in Chapter 6, we discuss the theoretical yet fundamental issue of stability. Here, our contribution is mostly on making a mathematically abstruse subdiscipline more accessible without losing too much generality. |
| probability in electrical engineering & computer science by walrand: Random Processes for Engineers Bruce Hajek, 2015-03-12 This engaging introduction to random processes provides students with the critical tools needed to design and evaluate engineering systems that must operate reliably in uncertain environments. A brief review of probability theory and real analysis of deterministic functions sets the stage for understanding random processes, whilst the underlying measure theoretic notions are explained in an intuitive, straightforward style. Students will learn to manage the complexity of randomness through the use of simple classes of random processes, statistical means and correlations, asymptotic analysis, sampling, and effective algorithms. Key topics covered include: • Calculus of random processes in linear systems • Kalman and Wiener filtering • Hidden Markov models for statistical inference • The estimation maximization (EM) algorithm • An introduction to martingales and concentration inequalities. Understanding of the key concepts is reinforced through over 100 worked examples and 300 thoroughly tested homework problems (half of which are solved in detail at the end of the book). |
| probability in electrical engineering & computer science by walrand: Dynamic Optimization and Mathematical Economics Pan-Tai Liu, 2013-03-09 As an outgrowth of the advancement in modern control theory during the past 20 years, dynamic modeling and analysis of economic systems has become an important subject in the study of economic theory. Recent developments in dynamic utility, economic planning, and profit optimiza tion, for example, have been greatly influenced by results in optimal control, stabilization, estimation, optimization under conflicts, multi criteria optimization, control of large-scale systems, etc. The great success that has been achieved so far in utilizing modern control theory in economic systems should be attributed to the effort of control theorists as well as economists. Collaboration between the two groups of researchers has proven to be most successful in many instances; nevertheless, the gap between them has existed for some time. Whereas a control theorist frequently sets up a mathematically feasible model to obtain results that permit economic interpretations, an economist is concerned more with the fidelity of the model in representing a real world problem, and results that are obtained (through possibly less mathematical analysis) are due largely to economic insight. The papers appearing in this volume are divided into three parts. In Part I there are five papers on the application of control theory to economic planning. Part II contains five papers on exploration, exploita tion, and pricing of extractive natural resources. Finally, in Part III, some recent advances in large-scale systems and decentralized control appear. |
| probability in electrical engineering & computer science by walrand: Stochastic Differential Systems, Stochastic Control Theory and Applications Wendell Fleming, Pierre-Louis Lions, 2012-12-06 This IMA Volume in Mathematics and its Applications STOCHASTIC DIFFERENTIAL SYSTEMS, STOCHASTIC CONTROL THEORY AND APPLICATIONS is the proceedings of a workshop which was an integral part of the 1986-87 IMA program on STOCHASTIC DIFFERENTIAL EQUATIONS AND THEIR APPLICATIONS. We are grateful to the Scientific Committee: Daniel Stroock (Chairman) WendeIl Flerning Theodore Harris Pierre-Louis Lions Steven Orey George Papanicolaou for planning and implementing an exciting and stimulating year-long program. We es pecially thank WendeIl Fleming and Pierre-Louis Lions for organizing an interesting and productive workshop in an area in which mathematics is beginning to make significant contributions to real-world problems. George R. Seil Hans Weinberger PREFACE This volume is the Proceedings of a Workshop on Stochastic Differential Systems, Stochastic Control Theory, and Applications held at IMA June 9-19,1986. The Workshop Program Commit tee consisted of W.H. Fleming and P.-L. Lions (co-chairmen), J. Baras, B. Hajek, J.M. Harrison, and H. Sussmann. The Workshop emphasized topics in the following four areas. (1) Mathematical theory of stochastic differential systems, stochastic control and nonlinear filtering for Markov diffusion processes. Connections with partial differential equations. (2) Applications of stochastic differential system theory, in engineering and management sci ence. Adaptive control of Markov processes. Advanced computational methods in stochas tic control and nonlinear filtering. (3) Stochastic scheduling, queueing networks, and related topics. Flow control, multiarm bandit problems, applications to problems of computer networks and scheduling of complex manufacturing operations. |
| probability in electrical engineering & computer science by walrand: Queueing Networks Richard J. Boucherie, Nico M. van Dijk, 2010-11-25 This handbook aims to highlight fundamental, methodological and computational aspects of networks of queues to provide insights and to unify results that can be applied in a more general manner. The handbook is organized into five parts: Part 1 considers exact analytical results such as of product form type. Topics include characterization of product forms by physical balance concepts and simple traffic flow equations, classes of service and queue disciplines that allow a product form, a unified description of product forms for discrete time queueing networks, insights for insensitivity, and aggregation and decomposition results that allow sub networks to be aggregated into single nodes to reduce computational burden. Part 2 looks at monotonicity and comparison results such as for computational simplification by either of two approaches: stochastic monotonicity and ordering results based on the ordering of the process generators, and comparison results and explicit error bounds based on an underlying Markov reward structure leading to ordering of expectations of performance measures. Part 3 presents diffusion and fluid results. It specifically looks at the fluid regime and the diffusion regime. Both of these are illustrated through fluid limits for theanalysis of system stability, diffusion approximations for multi-server systems, and a system fed by Gaussian traffic. Part 4 illustrates computational and approximate results through the classical MVA (mean value analysis) and QNA (queueing network analyzer) for computing mean and variance of performance measures such as queue lengths and sojourn times; numerical approximation of response time distributions; and approximate decomposition results for large open queueing networks. spanPart 5 enlightens selected applications as spanloss networks originating from circuit switched telecommunications applications, capacity sharing originating from packet switching in data networks, and a hospital application that is of growing present day interest. spanThe book shows that spanthe intertwined progress of theory and practicespan will remain to be most intriguing and will continue to be the basis of further developments in queueing networks. |
| probability in electrical engineering & computer science by walrand: Performance Modeling of Communication Networks with Markov Chains Jeonghoon Mo, 2022-05-31 This book is an introduction to Markov chain modeling with applications to communication networks. It begins with a general introduction to performance modeling in Chapter 1 where we introduce different performance models. We then introduce basic ideas of Markov chain modeling: Markov property, discrete time Markov chain (DTMC) and continuous time Markov chain (CTMC). We also discuss how to find the steady state distributions from these Markov chains and how they can be used to compute the system performance metric. The solution methodologies include a balance equation technique, limiting probability technique, and the uniformization. We try to minimize the theoretical aspects of the Markov chain so that the book is easily accessible to readers without deep mathematical backgrounds. We then introduce how to develop a Markov chain model with simple applications: a forwarding system, a cellular system blocking, slotted ALOHA, Wi-Fi model, and multichannel based LAN model. The examples cover CTMC, DTMC, birth-death process and non birth-death process. We then introduce more difficult examples in Chapter 4, which are related to wireless LAN networks: the Bianchi model and Multi-Channel MAC model with fixed duration. These models are more advanced than those introduced in Chapter 3 because they require more advanced concepts such as renewal-reward theorem and the queueing network model. We introduce these concepts in the appendix as needed so that readers can follow them without difficulty. We hope that this textbook will be helpful to students, researchers, and network practitioners who want to understand and use mathematical modeling techniques. Table of Contents: Performance Modeling / Markov Chain Modeling / Developing Markov Chain Performance Models / Advanced Markov Chain Models |
| probability in electrical engineering & computer science by walrand: Trust and Trustworthy Computing Alessandro Acquisti, Sean W. Smith, Ahmad-Reza Sadeghi, 2010-06-09 This book constitutes the refereed proceedings of the Third International Conference on Trust and Trustworthy Computing, TRUST 2010, held in Berlin, Germany, in June 2010. The 25 revised full papers and 6 short papers presented were carefully selected from numerous submissions. The papers are organized in a technical strand and a socio-economic strand and cover a broad range of concepts including trustworthy infrastructures, services, hardware, software, and protocols as well as social and economic aspects of the design, application, and usage of trusted computing. |
| probability in electrical engineering & computer science by walrand: Stochastic Network Optimization with Application to Communication and Queueing Systems Michael Neely, 2022-05-31 This text presents a modern theory of analysis, control, and optimization for dynamic networks. Mathematical techniques of Lyapunov drift and Lyapunov optimization are developed and shown to enable constrained optimization of time averages in general stochastic systems. The focus is on communication and queueing systems, including wireless networks with time-varying channels, mobility, and randomly arriving traffic. A simple drift-plus-penalty framework is used to optimize time averages such as throughput, throughput-utility, power, and distortion. Explicit performance-delay tradeoffs are provided to illustrate the cost of approaching optimality. This theory is also applicable to problems in operations research and economics, where energy-efficient and profit-maximizing decisions must be made without knowing the future. Topics in the text include the following: - Queue stability theory - Backpressure, max-weight, and virtual queue methods - Primal-dual methods for non-convex stochastic utility maximization - Universal scheduling theory for arbitrary sample paths - Approximate and randomized scheduling theory - Optimization of renewal systems and Markov decision systems Detailed examples and numerous problem set questions are provided to reinforce the main concepts. Table of Contents: Introduction / Introduction to Queues / Dynamic Scheduling Example / Optimizing Time Averages / Optimizing Functions of Time Averages / Approximate Scheduling / Optimization of Renewal Systems / Conclusions |
| probability in electrical engineering & computer science by walrand: Geometric Programming for Communication Systems Mung Chiang, 2005 Recently Geometric Programming has been applied to study a variety of problems in the analysis and design of communication systems from information theory and queuing theory to signal processing and network protocols. Geometric Programming for Communication Systems begins its comprehensive treatment of the subject by providing an in-depth tutorial on the theory, algorithms, and modeling methods of Geometric Programming. It then gives a systematic survey of the applications of Geometric Programming to the study of communication systems. It collects in one place various published results in this area, which are currently scattered in several books and many research papers, as well as to date unpublished results. Geometric Programming for Communication Systems is intended for researchers and students who wish to have a comprehensive starting point for understanding the theory and applications of geometric programming in communication systems. |
| probability in electrical engineering & computer science by walrand: Introduction to Discrete Event Systems Christos G. Cassandras, Stéphane Lafortune, 2021-11-11 This unique textbook comprehensively introduces the field of discrete event systems, offering a breadth of coverage that makes the material accessible to readers of varied backgrounds. The book emphasizes a unified modeling framework that transcends specific application areas, linking the following topics in a coherent manner: language and automata theory, supervisory control, Petri net theory, Markov chains and queueing theory, discrete-event simulation, and concurrent estimation techniques. Topics and features: detailed treatment of automata and language theory in the context of discrete event systems, including application to state estimation and diagnosis comprehensive coverage of centralized and decentralized supervisory control of partially-observed systems timed models, including timed automata and hybrid automata stochastic models for discrete event systems and controlled Markov chains discrete event simulation an introduction to stochastic hybrid systems sensitivity analysis and optimization of discrete event and hybrid systems new in the third edition: opacity properties, enhanced coverage of supervisory control, overview of latest software tools This proven textbook is essential to advanced-level students and researchers in a variety of disciplines where the study of discrete event systems is relevant: control, communications, computer engineering, computer science, manufacturing engineering, transportation networks, operations research, and industrial engineering. Christos G. Cassandras is Distinguished Professor of Engineering, Professor of Systems Engineering, and Professor of Electrical and Computer Engineering at Boston University. Stéphane Lafortune is Professor of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor. |
| probability in electrical engineering & computer science by walrand: The Mathematics of Internet Congestion Control Rayadurgam Srikant, 2012-12-06 Congestion control algorithms were implemented for the Internet nearly two decades ago, but mathematical models of congestion control in such a large-scale network are relatively new. This text presents models for the development of new protocols that can help make Internet data transfers virtually loss- and delay-free. Introduced are tools from optimization, control theory, and stochastic processes integral to the study of congestion control algorithms. Intended for graduate students and researchers in systems theory and computer science, the text assumes basic knowledge of first-year, graduate-level control theory, optimization, and stochastic processes, but the key prerequisites are summarized in an appendix for quick reference. The work's wide range of applications to the study of both new and existing protocols and control algorithms make the book of interest to researchers and students concerned with many aspects of large-scale information flow on the Internet. |
| probability in electrical engineering & computer science by walrand: Optimization Models Giuseppe C. Calafiore, Laurent El Ghaoui, 2014-10-31 This accessible textbook demonstrates how to recognize, simplify, model and solve optimization problems - and apply these principles to new projects. |
| probability in electrical engineering & computer science by walrand: Distributed Computing Ajay D. Kshemkalyani, Mukesh Singhal, 2011-03-03 Designing distributed computing systems is a complex process requiring a solid understanding of the design problems and the theoretical and practical aspects of their solutions. This comprehensive textbook covers the fundamental principles and models underlying the theory, algorithms and systems aspects of distributed computing. Broad and detailed coverage of the theory is balanced with practical systems-related issues such as mutual exclusion, deadlock detection, authentication, and failure recovery. Algorithms are carefully selected, lucidly presented, and described without complex proofs. Simple explanations and illustrations are used to elucidate the algorithms. Important emerging topics such as peer-to-peer networks and network security are also considered. With vital algorithms, numerous illustrations, examples and homework problems, this textbook is suitable for advanced undergraduate and graduate students of electrical and computer engineering and computer science. Practitioners in data networking and sensor networks will also find this a valuable resource. Additional resources are available online at www.cambridge.org/9780521876346. |
| probability in electrical engineering & computer science by walrand: Economic Modeling in Networking Randall Alexander Berry, Ramesh Johari, Now Publishers, 2013 In recent years, engineers have been increasingly called upon to have basic skills in economic modeling and game theory at their disposal for two related reasons. First, the economics of networks has a significant effect on the adoption and creation of network innovations, and second, and perhaps more importantly, engineered networks serve as the platform for many of our basic economic interactions today. This monograph aims to provide engineering students who have a basic training in economic modeling and game theory an understanding of where and when game theoretic models are employed, the assumptions underpinning key models, and conceptual insights that are broadly applicable. |
| probability in electrical engineering & computer science by walrand: Stochastic Networks Frank Kelly, Elena Yudovina, 2014-02-27 A compact, highly-motivated introduction to some of the stochastic models found useful in the study of communications networks. |
| probability in electrical engineering & computer science by walrand: Wireless Multimedia Network Technologies Rajamani Ganesh, Kaveh Pahlavan, Zoran Zvonar, 2006-04-18 This book is a collection of invited papers that were presented at the Ninth IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, September 5-8, 1998, Boston, MA. These papers are meant to provide a global view of the emerging third-generation wireless networks in the wake of the third millennium. Following the tradition of the PIMRC conferences, the papers are selected to strike a balance between the diverse interests of academia and industry by addressing issues of interest to the designers, manufacturers, and service providers involved in the wireless networking industry. The tradition of publishing a collection of the invited papers presented at the PIMRC started in PIMRC’97, Helsinki, Finland. There are two benefits to this tradition (1) it provides a shorter version of the proceedings of the conference that is more focused on a specific theme (2) the papers are comprehensive and are subject of a more careful review process to improve the contents as well as the presentation of the material, making it more appealing for archival as a reference book. The production costs of the book is subsidized by the conference and the editors have donated the royalty income of the book to the conference. |
| probability in electrical engineering & computer science by walrand: Coordinating the Internet Fredrik Lindeberg, 2019-12-10 Många självklarheter i vårt digitala samhälle är beroende av Internet för att fungera. Allt från smarta dörrar för hemtjänster, till självscanningsapparaterna på ICA, till nyare bilar, moderna tillverkningsrobotar, telefoner och affärssystem. Den här licentiatavhandlingen reder ut vad Internet är, hur det styrs och vad det har för praktiska konsekvenser. Tidigare forskning finns bland annat inom telekommunikation där Internet liknas vid andra telekommunikationstjänster, så som kabel-TV eller mobiltelefoni, och inom digitalisering både inom management och informationssystem där Internet i det närmaste tas för givet som teknisk infrastruktur. Här tar jag en ansatts där jag förklarar Internet ur ett kombinerat tekniskt och organisatoriskt perspektiv. Studien är principiellt uppdelad i tre delar. Den första delen fokuserar på att begreppsmässigt hitta ett sätt att diskutera Internet utan att essentiella aspekter faller bort, såsom styrningen eller konsekvenser av den tekniska designen. Jag landar i att Internet är både ett tekniskt och ett organisatoriskt fenomen. Tekniskt i bemärkelsen att det handlar om digital paketbaserad kommunikation (dvs att olika paket kan ta olika väg och att det inte finns ett beroende på en viss specifik väg, eller “krets”), vilket kan särskiljas från exempelvis kretskopplad kommunikation (dvs en specific väg från sändare till mottagare) eller rent analog kommunikation. I denna tekniska dimension är Internet förhållandevis likt klassisk telekommunikation såsom kabel-TV och mobiltelefoni, och förlitar sig på best-effort paketbaserad kommunikation. I den andra dimensionen, styrning och organisation, är Internet ett explicit bottom-up fenomen som styrs med andra principer och ideal än klassisk telekommunikation. Till sin utformning är denna minsta möjliga koordination som krävs för att möjliggöra koordinering av de tekniska unika identifierare som behövs för att Internet ska fungera (dvs idag DNS- och BGP-flororna av protokoll för användning av namn och nummer på Internet). Båda dimensionerna, de organisatoriska och tekniska, följer samma designprinciper, och generellt är det meningsfullt att se Internet som en ekologi av aktörer snarare än en organisation i strikt teoretiska termer (exempelvis finns ingen tydlig övergripande strategi, organisationsnummer eller löneutbetalare). Det är dessa designprinciper, som ligger väl i linje med systemarkitektursprinciper för datorsystem, som är orsaken till Internets lager-design där man (generellt) inte ska bry som om vad som händer på andra lager än sitt eget (beskrivet som “separation of concerns” eller i dubbel negation “high cohesion” i texten) samt att ha en minimalistisk ansatts till koordinering och enbart koordinera eller skapa beroenden mellan enheter (både tekniskt och organisatoriskt) när det verkligen behövs (beskrivet som “minimum coordination” eller “low coupling” i texten). Den andra delen fokuserar på hur Internet kan socialt påverkas eller förändras till något annat, eller till något med en annan funktion sett som en styrd organisation. Jag använder begreppet social robusthet, som motpol till teknisk robusthet som i hur man tekniskt kan förstöra Internet, för att diskutera dessa aspekter. Slutsatserna här mynnar ut i att Internets explicita bottom-up och problemsuppdelnings-design gör det märkbart svårt för någon att medvetet påverka Internet för att ändra dess beskaffenhet, och dessutom visar jag att även om man praktiskt lyckas ta över de formellt beslutande råden (exempelvis ICANNs och IETFs styrelser) så finns det inga formella eller praktiska hinder för att bara ignorera dem (dvs switching costs för just ICANN eller IETF är låga, om än tekniskt omständligt med att konfigurera om rötter och routing-tabeller, och betydligt enklare än att gå från IPv4 till IPv6 då utrustning kan behöva ersättas och därmed en betydligt högre switching cost). Med andra ord, det är enklare att byta ut Internets koordinerare än att byta ut Internet mot något som fungerar annorlunda. Däremot är den rådande politiska världsordningen ett hot mot Internet, eftersom den regelstyrda och koordinerade världsordningen inte längre är lika självklar som den varit tidigare. Den tredje och sista studien fokuserar på nätneutralitet, dvs rätten nätverksoperatörer har att fånga värde i andra dimensioner än trafikmängd, som en praktiskt effekt av hur Internet styrs och fungerar. Det primära praktiska bidraget är att nätneutralitet inte får ses som enbart en reglerings och lagstiftningfråga utan det är mer relevant att prata om i termer av nätneutralitet i praktiken. I den bemärkelsen är lagstiftningens vara eller inte vara mindre intressant än praktisk nätneutralitets vara eller inte vara och en tyngdpunktsförskjutning i den offentliga debatten hade fört diskussionen närmare hur Internet fungerar. Sammanfattningsvis ger Internets designprinciper att marknadskrafter, och ej direkt reglering, ska möjliggöra nätneutralitet. För att förtydliga, tanken är att det ska finnas konkurrens inom de flesta nivåer eller lager, och att det är av vikt att det finns konkurrens rakt igenom så att en kundvilja för paketneutralitet på tjänstenivå även påverkar nätägar- och infrastrukturnivå, så att det är användarnas efterfrågan som leder till nätneutralitet (om den användarviljan finns). Dock kan det mycket väl vara så att man som användare inte är intresserad av nätneutralitet och då ska tjänsteleverantörer, nätägare och infrastrukturoperatörer inte heller tvingas vara neutrala genom lagstiftning då det går stick i stäv med designprinciperna. Inte heller ska en grupps vilja kring nätneutralitet påverka andras möjligheter att välja. Genomgående identifierar jag två kolliderande världsbilder, den distribuerade regelstyrda och koordinerade ordningen i sitt perspektiv med sina förkämpar, och den mer integrerande och suveräna världsordningen med sitt perspektiv och sina förkämpar. Rent praktiskt uppfyller Internet en önskad funktion i den tidigare men ej i den senare, då Internet designmässigt är byggt för att tillåta snarare än kontrollera och bestämma. Exempelvis finns det inte inbyggda (tekniska) mekanismer i Internet för att till exempel möjliggöra statlig övervakning eller kontroll av material som finns tillgängligt, och då ligger det mer i statens intresse att ha kontrollerade telekommunikationstjänster, såsom kabel-TV, mobiltelefoni och liknande lösningar där man inte helt enkelt kan lägga på ett “extra lager” för att uppnå kryptering, anonymitet eller tillgång till andra tjänster. I texten använder jag perspektiven tillsammans med teknologi, marknader och byråkrati för att fånga upp dynamiken och strömningarna i Internet-ekologin och jämför med tekniska samhällsförändringar, som exempelvis järnvägsnät, postverk och finansiella marknader. Jag konstaterar att Internet har varit styrt av teknologiskt baserade värderingar, till skillnad från de andra exemplen som i huvudsak har utformats av dynamiken mellan byråkrati och marknad. I denna mån förelår jag att teknologi kan användas som strömning och motperspektiv till den klassiska uppställningen med byråkrati och marknad för att beskriva fenomen i digitaliseringens tidsålder. Avhandlingen sätter även pågående trender i ett bredare perspektiv mot både organisation och teknik, och trycker på vikten av att förstå delarna var för sig och tillsammans för att på ett rikare sätt måla upp helheten. The modern society is to a large extent Internet-dependent. Today we rely on the Internet to handle communication for smart doors, self-scanning convenience stores, connected cars, production robots, telephones and ERP-systems. The purpose of this thesis is to unbundle the Internet, its technology, its coordination, and practical and theoretical consequences. Earlier research has, in telecommunications, focused on the Internet as one of many potential telecommunications services, such as cellphones or cable-TV, and the management and information systems field has by and large treated the Internet as black-boxable infrastructure. This thesis explains the Internet from the combined perspectives of technology and coordination. This text contains three empirical studies. The first is focused on conceptualizing and discussing the Internet in a meaningful way using both technology and coordination frameworks. I unceremoniously conclude that the Internet is both a technological and a coordination phenomenon and neither of these aspects can be ignored. The Internet is technological in that it concerns digital packet switched digital communication (as opposed to circuit switched) or purely analog communications. The technological dimension of the Internet is similar in its constituency to classical telecommunications networks, and has best-effort mechanisms for packet delivery. In the other dimension, coordination, the Internet is an explicit bottom-up phenomenon minimally coordinated (or governed) by other ideals than classical telecommunications networks and systems. At its core this least necessary coordination concerns technical unique identifiers necessary for inter-network communication (in practice today manifested as naming with the DNS protocol suite, and numbering with the BGP protocol suite). Both dimensions follow similar design characteristics; the design of the technical Internet is similar to the design of the coordination of the Internet. These design principles, which are well aligned with software design principles, is the cause of the Internet’s layered design (“separation of concerns” in practice) and minimal view of coordination (the “least coordinated Internet”). In general terms it is fruitful to view the Internet and involved actors as an ecology, rather than one organization or entity in need of governance or control. The second study looks at the social resilience of the Internet. That is, is it possible through social means to change what the Internet is or can be viewed as. I use social resilience as a counterpart to technical resilience, i.e. resilience to technical interference. In essence, the bottom-up and separations of concerns design of the coordination aspect of the Internet minimizes possible influence of actors intent on mission disruption. I also practically show that even a take-over of the central councils have little effect the constituency of the Internet, since these councils are not invested with formal powers of enforcement. This thesis suggests that the cost of switching from ICANN and IETF to another set of organizations is quite low due to the nature of the coordination of the Internet, compared to for example, switching all equipment to IPv6 capable equipment. However, the current political situation is a threat to the current Internet regime, since an international and rule-based world order is no longer on all states’ agendas. The final empirical study focus on the practical and theoretical implications of the Internet on the case of net neutrality. The primary contribution is that de facto and de jure net neutrality differ in practice, and as such de facto net neutrality deserves more attention. Also, I suggest that any regulation, either for or against net neutrality, is problematic, since such regulation would interfere with the inherent coordination mechanisms of the Internet. As such regulation should focus on providing the necessary markets for Internet function given the coordination and design of the Internet. As a net neutrality example, net neutral Internet access options should exist as part of a natural service offering if wanted by customers, not due to direct regulation. Throughout the thesis I identify two colliding world orders, both in terms of digital communication networks and terms of organizing society in general: the rule-based and coordinating order with its champions, and the integrated or sovereign order with its champions. In practical terms, the Internet can be considered a want in the former (the distributed perspective), but not the later (the integrative perspective), since the Internet lacks inherent (technical) controls for surveillance and content control which are necessary in a world order where borders are important. Regardless of if that importance stems from state oversight or intellectual property rights legislation. I use these perspectives together with technology, markets and bureaucracy to catch the dynamics of the Internet ecology. I then compare these dynamics with other technological and societal phenomena, such as railway networks, postal services and financial markets. And conclude that the Internet (as conceptualized in this thesis) can best be explained by technological values, in opposite to the other examples which can best by explained by the dynamics of markets and bureaucracies without any real influence of the values of technology. As such, I suggest that the classical frame of markets and bureaucracy can fruitfully be expanded with technology to better explain the Internet and similar digitization phenomena. This thesis puts current trends in a broader perspective based on technology and organization, where the two perspectives together better can draw the full picture in a rich fashion. |
| probability in electrical engineering & computer science by walrand: Introduction to Communication Systems Upamanyu Madhow, 2014-11-24 An accessible undergraduate textbook introducing key fundamental principles behind modern communication systems, supported by exercises, software problems and lab exercises. |
| probability in electrical engineering & computer science by walrand: Decision and Game Theory for Security Jens Grossklags, Jean Walrand, 2012-11-05 This book constitutes the refereed proceedings of the Third International Conference on Decision and Game Theory for Security, GameSec 2012, held in Budapest, Hungary, in November 2012. The 18 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on secret communications, identification of attackers, multi-step attacks, network security, system defense, and applications security. |
| probability in electrical engineering & computer science by walrand: Gossip Algorithms Devavrat Shah, 2009 A systematic survey of many of these recent results on Gossip network algorithms. |
| probability in electrical engineering & computer science by walrand: An Introduction to Queueing Networks Jean Walrand, 1988 |
| probability in electrical engineering & computer science by walrand: Pricing Communication Networks Costas Courcoubetis, Richard Weber, 2003-07-25 Traditionally engineers devised communication services without reference to how they should be priced. In today's environment pricing is a very complex subject and in practice depends on many parameters of the actual market - including amount of traffic, architecture of the network, technology, and cost. The challenge is to provide a generic service model which accurately captures aspects such as quality and performance, and can be used to derive optimal pricing strategies. Recent technology advances, combined with the deregulation of the telecommunication market and the proliferation of the internet, have created a highly competitive environment for communication service prividers. Pricing is no longer as simple as picking an appropriate model for a particular contract. There is a real need for a book that explains the provision of new services, the relation between pricing and resource allocation in networks; and the emergence of the internet and how to price it. Pricing Communication Networks provides a framework of mathematical models for pricing these multidimensional contracts, and includes background in network services and contracts, network techonology, basic economics, and pricing strategy. It can be used by economists to fill in the gaps in their knowledge of network services and technology, and for engineers and operational researchers to gain the background in economics required to price communication services effectively. * Provides a broad overview of network services and contracts * Includes a primer on modern network technology and the economic concepts relevant to pricing and competition * Includes discussion of mathematical models of traffic flow to help describe network capability and derive pricing strategies * Includes coverage of specialist topics, such as regulation, multicasting, and auctions * Illustrated throughout by detailed real examples * Suitable for anyone with an understanding of basic calculus and probability Primarily aimed at graduate students, researchers and practitioners from electrical engineering, computer science, economics and operations research Pricing Communication Networks will also appeal to telecomms engineers working in industry. |
| probability in electrical engineering & computer science by walrand: Communication Networks Jean Walrand, 1998 Designed for second and third year undergraduates in computer science and electrical engineering or computer science as well as network professionals, this book explains the operating principles of local networks, the Internet and Asynchronous Transfer Mode networks. |
| probability in electrical engineering & computer science by walrand: Next Generation Knowledge Machines Syed V. Ahamed, 2013-09-13 This book delivers the scientific and mathematical basis to treat and process knowledge as a quantifiable and dimensioned entity. It provides the units and measures for the value of information contained in a body of knowledge that can be measured, processed, enhanced, communicated and preserved. It provides a basis to evaluate the quantity of knowledge acquired by students at various levels and in different universities. The effect of time on the dynamics and flow of knowledge is tied to Internet knowledge banks and provides the basis for designing and building the next generation of novel machine to appear in society. This book ties the basic needs of all human beings to the modern machines that resolve such need based on Internet knowledge banks (KBs) distributed throughout nations and societies. The features of the Intelligent Internet are fully exploited to make a new generation of students and knowledge workers use the knowledge resources elegantly and optimally. It deals with topics and insight into the design and architecture of next-generation computing systems that deal with human and social problems. Processor and Internet technologies that have already revolutionized human lives form the subject matter and the focal point of this book. Information and knowledge on the Internet delivered by next-generation mobile networks form the technical core presented. Human thought processes and adjustments follow the solutions offered by machines. - Extends the established practices and designs documented in computer systems to encompass the evolving knowledge processing field - Provides an academic and industrial viewpoint of the concurrent dynamic changes in computer and communication industries - Presents information for all perspectives, from managers, scientists and researchers - Basic concepts can be applied to other disciplines and situations |
| probability in electrical engineering & computer science by walrand: Advances in Applied Probability , 1993 |
| probability in electrical engineering & computer science by walrand: Computer Networks and Systems: Queueing Theory and Performance Evaluation Thomas G. Robertazzi, 2012-12-06 Statistical performance evaluation has assumed an increasing amount of importance as we seek to design more and more sophisticated communi cation and information processing systems. The ability to predict a pro posed system's performance without actually having to construct it is an extremely cost effective design tool. This book is meant to be a first year graduate level introduction to the field of statistical performance evaluation. As such, it covers queueing theory (chapters 1-4) and stochastic Petri networks (chapter 5). There is a short appendix at the end of the book which reviews basic probability theory. At Stony Brook, this material would be covered in the second half of a two course sequence (the first half is a computer networks course using a text such as Schwartz's Telecommunications Networks). Students seem to be encouraged to pursue the analytical material of this book if they first have some idea of the potential applications. I am grateful to B.L. Bodnar, J. Blake, J.S. Emer, M. Garrett, W. Hagen, Y.C. Jenq, M. Karol, J.F. Kurose, S.-Q. Li, A.C. Liu, J. McKenna, H.T. Mouftah and W.G. Nichols, I.Y. Wang, the IEEE and Digital Equip ment Corporation for allowing previously published material to appear in this book. |
| probability in electrical engineering & computer science by walrand: Decision and Game Theory for Security Jens Grossklags, Jean Walrand, 2012-09-27 This book constitutes the refereed proceedings of the Third International Conference on Decision and Game Theory for Security, GameSec 2012, held in Budapest, Hungary, in November 2012. The 18 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on secret communications, identification of attackers, multi-step attacks, network security, system defense, and applications security. |
| probability in electrical engineering & computer science by walrand: Analysis of Queues Natarajan Gautam, 2012-04-26 Written with students and professors in mind, Analysis of Queues: Methods and Applications combines coverage of classical queueing theory with recent advances in studying stochastic networks. Exploring a broad range of applications, the book contains plenty of solved problems, exercises, case studies, paradoxes, and numerical examples. In addition to the standard single-station and single class discrete queues, the book discusses models for multi-class queues and queueing networks as well as methods based on fluid scaling, stochastic fluid flows, continuous parameter Markov processes, and quasi-birth-and-death processes, to name a few. It describes a variety of applications including computer-communication networks, information systems, production operations, transportation, and service systems such as healthcare, call centers and restaurants. |
| probability in electrical engineering & computer science by walrand: Introduction to Probability Dimitri Bertsekas, John N. Tsitsiklis, 2008-07-01 An intuitive, yet precise introduction to probability theory, stochastic processes, statistical inference, and probabilistic models used in science, engineering, economics, and related fields. This is the currently used textbook for an introductory probability course at the Massachusetts Institute of Technology, attended by a large number of undergraduate and graduate students, and for a leading online class on the subject. The book covers the fundamentals of probability theory (probabilistic models, discrete and continuous random variables, multiple random variables, and limit theorems), which are typically part of a first course on the subject. It also contains a number of more advanced topics, including transforms, sums of random variables, a fairly detailed introduction to Bernoulli, Poisson, and Markov processes, Bayesian inference, and an introduction to classical statistics. The book strikes a balance between simplicity in exposition and sophistication in analytical reasoning. Some of the more mathematically rigorous analysis is explained intuitively in the main text, and then developed in detail (at the level of advanced calculus) in the numerous solved theoretical problems. |
| probability in electrical engineering & computer science by walrand: Proceedings , 2002 |
| probability in electrical engineering & computer science by walrand: Communication Networks Jean Walrand, Shyam P. Parekh, 2010 Annotation After an overview of how today's Internet works and a discussion of the main principles behind its architecture, this text discusses the key ideas behind Ethernet, WiFi networks, routing, internetworking and TCP. |
| probability in electrical engineering & computer science by walrand: Innovations in Electrical and Electronics Engineering H. S. Saini, T. Srinivas, D. M. Vinod Kumar, K. S. Chandragupta Mauryan, 2021-03-24 This book is a collection of selected research papers presented at the International Conference on Innovations in Electrical and Electronics Engineering (ICIEEE 2019), which was organized by the Guru Nanak Institutions, Ibrahimpatnam, Hyderabad, Telangana, India, on July 26–27, 2019. The book highlights the latest developments in electrical and electronics engineering, especially in the areas of power systems, power electronics, control systems, electrical machinery, and renewable energy. The solutions discussed here will encourage and inspire researchers, industry professionals, and policymakers to put these methods into practice. |
| probability in electrical engineering & computer science by walrand: Stochastic Network Calculus Yuming Jiang, Yong Liu, 2009-03-01 Network calculus is a theory dealing with queuing systems found in computer networks. Its focus is on performance guarantees. Central to the theory is the use of alternate algebras such as the min-plus algebra to transform complex network systems into analytically tractable systems. To simplify the ana- sis, another idea is to characterize tra?c and service processes using various bounds. Since its introduction in the early 1990s, network calculus has dev- oped along two tracks—deterministic and stochastic. This book is devoted to summarizing results for stochastic network calculus that can be employed in the design of computer networks to provide stochastic service guarantees. Overview and Goal Like conventional queuing theory, stochastic network calculus is based on properly de?ned tra?c models and service models. However, while in c- ventional queuing theory an arrival process is typically characterized by the inter-arrival times of customers and a service process by the service times of customers, the arrival process and the service process are modeled in n- work calculus respectively by some arrival curve that (maybe probabilis- cally) upper-bounds the cumulative arrival and by some service curve that (maybe probabilistically) lower-bounds the cumulative service. The idea of usingboundstocharacterizetra?candservicewasinitiallyintroducedfor- terministic network calculus. It has also been extended to stochastic network calculus by exploiting the stochastic nature of arrival and service processes. |
| probability in electrical engineering & computer science by walrand: Network Congestion Control Michael Welzl, 2005-09-02 As the Internet becomes increasingly heterogeneous, the issue of congestion control becomes ever more important. In order to maintain good network performance, mechanisms must be provided to prevent the network from being congested for any significant period of time. Michael Welzl describes the background and concepts of Internet congestion control, in an accessible and easily comprehensible format. Throughout the book, not just the how, but the why of complex technologies including the Transmission Control Protocol (TCP) and Active Queue Management are explained. The text also gives an overview of the state-of-the-art in congestion control research and an insight into the future. Network Congestion Control: Presents comprehensive, easy-to-read documentation on the advanced topic of congestion control without heavy maths. Aims to give a thorough understanding of the evolution of Internet congestion control: how TCP works, why it works the way it does, and why some congestion control concepts failed for the Internet. Explains the Chiu/Jain vector diagrams and introduces a new method of using these diagrams for analysis, teaching & design. Elaborates on how the theory of congestion control impacts on the practicalities of service delivery. Includes an appendix with examples/problems to assist learning. Provides an accompanying website with Java tools for teaching congestion control, as well as examples, links to code and projects/bibliography. This invaluable text will provide academics and researchers in computer science, electrical engineering and communications networking, as well as students on advanced networking and Internet courses, with a thorough understanding of the current state and future evolution of Internet congestion control. Network administrators and Internet service and applications providers will also find Network Congestion Control a comprehensive, accessible self-teach tool. |
| probability in electrical engineering & computer science by walrand: IEEE International Symposium on Information Theory , 1979 |
Probability - Wikipedia
Probability is a branch of mathematics and statistics concerning events and numerical descriptions of how likely they are to occur. The probability of an event is a number between 0 …
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How likely something is to happen. Many events can't be predicted with total certainty. The best we can say is how likely they are to happen, using the idea of probability. When a coin is …
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Probability is all about how likely is an event to happen. For a random experiment with sample space S, the probability of happening of an event A is calculated by the probability formula n …
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Define probability including impossible and certain events. Calculate basic theoretical probabilities. Calculate basic empirical probabilities. Distinguish among theoretical, empirical, …
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Probability is a measure of the likelihood of an event to occur. Many events cannot be predicted with total certainty. We can predict only the chance of an event to occur i.e., how likely they …
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Free how to calculate probability math topic guide, including step-by-step examples, free practice questions, teaching tips and more!
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Apr 7, 2025 · Probability is defined as the measure of how likely an event is to happen, usually expressed as a value between zero and one. A Probability of zero indicates that the event is …
Probability in Maths - GeeksforGeeks
May 16, 2025 · In this section, you will explore the fundamental concepts of probability, key formulas, conditional probability, and Bayes' Theorem. By the end, you'll have a clear …
Probability | Brilliant Math & Science Wiki
A probability is a number that represents the likelihood of an uncertain event. Probabilities are always between 0 and 1, inclusive. The larger the probability, the more likely the event is to …
Probability - Definition, Formula, Types, Terms, Solved Problems
Jan 15, 2021 · Probability is defined as the possibility of an event to occur. The formula for Probability is given as the ratio of the number of favorable events to the total number of …
Probability - Wikipedia
Probability is a branch of mathematics and statistics concerning events and numerical descriptions of how likely they are to occur. The probability of an event is a number between 0 …
Probability - Math is Fun
How likely something is to happen. Many events can't be predicted with total certainty. The best we can say is how likely they are to happen, using the idea of probability. When a coin is …
Probability - Formula, Calculating, Find, Theorems, Examples
Probability is all about how likely is an event to happen. For a random experiment with sample space S, the probability of happening of an event A is calculated by the probability formula n …
7.5: Basic Concepts of Probability - Mathematics LibreTexts
Define probability including impossible and certain events. Calculate basic theoretical probabilities. Calculate basic empirical probabilities. Distinguish among theoretical, empirical, …
Probability Definition in Math - BYJU'S
Probability is a measure of the likelihood of an event to occur. Many events cannot be predicted with total certainty. We can predict only the chance of an event to occur i.e., how likely they …
How To Calculate Probability - Math Steps, Examples & Questions
Free how to calculate probability math topic guide, including step-by-step examples, free practice questions, teaching tips and more!
What is Probability? Definition, Types, Formula, & Examples
Apr 7, 2025 · Probability is defined as the measure of how likely an event is to happen, usually expressed as a value between zero and one. A Probability of zero indicates that the event is …
Probability in Maths - GeeksforGeeks
May 16, 2025 · In this section, you will explore the fundamental concepts of probability, key formulas, conditional probability, and Bayes' Theorem. By the end, you'll have a clear …
Probability | Brilliant Math & Science Wiki
A probability is a number that represents the likelihood of an uncertain event. Probabilities are always between 0 and 1, inclusive. The larger the probability, the more likely the event is to …
Probability - Definition, Formula, Types, Terms, Solved Problems
Jan 15, 2021 · Probability is defined as the possibility of an event to occur. The formula for Probability is given as the ratio of the number of favorable events to the total number of …
