An Introduction to Models of Online Peer-to-Peer Social Networking

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Publisher : Springer Nature
ISBN 13 : 3031799984
Total Pages : 111 pages
Book Rating : 4.83/5 ( download)

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Book Synopsis An Introduction to Models of Online Peer-to-Peer Social Networking by : George Kesidis

Download or read book An Introduction to Models of Online Peer-to-Peer Social Networking written by George Kesidis and published by Springer Nature. This book was released on 2022-06-01 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book concerns peer-to-peer applications and mechanisms operating on the Internet, particularly those that are not fully automated and involve significant human interaction. So, the realm of interest is the intersection of distributed systems and online social networking. Generally, simple models are described to clarify the ideas. Beginning with short overviews of caching, graph theory and game theory, we cover the basic ideas of structured and unstructured search. We then describe a simple framework for reputations and for iterated referrals and consensus. This framework is applied to a problem of sybil identity management. The fundamental result for iterated Byzantine consensus for a relatively important issue is also given. Finally, a straight-forward epidemic model is used to describe the propagation of malware on-line and for BitTorrent-style file-sharing. This short book can be used as a preliminary orientation to this subject matter. References are given for the interested student to papers with good survey and tutorial content and to those with more advanced treatments of specific topics. For an instructor, this book is suitable for a one-semester seminar course. Alternatively, it could be the framework for a semester's worth of lectures where the instructor would supplement each chapter with additional lectures on related or more advanced subject matter. A basic background is required in the areas of computer networking, probability theory, stochastic processes, and queueing. Table of Contents: Networking overview / Graphs / Games / Search in structured networks / Search in unstructured networks / Transactions, reputations, and referrals / False Referrals / Peer-to-peer file sharing / Consensus in dynamical belief systems / Byzantine consensus / Epidemics

An Introduction to Models of Online Peer-to-Peer Social Networking

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Author :
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1608450805
Total Pages : 125 pages
Book Rating : 4.00/5 ( download)

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Book Synopsis An Introduction to Models of Online Peer-to-Peer Social Networking by : George Kesidis

Download or read book An Introduction to Models of Online Peer-to-Peer Social Networking written by George Kesidis and published by Morgan & Claypool Publishers. This book was released on 2010-05-05 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book concerns peer-to-peer applications and mechanisms operating on the Internet, particularly those that are not fully automated and involve significant human interaction. So, the realm of interest is the intersection of distributed systems and online social networking. Generally, simple models are described to clarify the ideas. Beginning with short overviews of caching, graph theory and game theory, we cover the basic ideas of structured and unstructured search. We then describe a simple framework for reputations and for iterated referrals and consensus. This framework is applied to a problem of sybil identity management. The fundamental result for iterated Byzantine consensus for a relatively important issue is also given. Finally, a straight-forward epidemic model is used to describe the propagation of malware on-line and for BitTorrent-style file-sharing. This short book can be used as a preliminary orientation to this subject matter. References are given for the interested student to papers with good survey and tutorial content and to those with more advanced treatments of specific topics. For an instructor, this book is suitable for a one-semester seminar course. Alternatively, it could be the framework for a semester's worth of lectures where the instructor would supplement each chapter with additional lectures on related or more advanced subject matter. A basic background is required in the areas of computer networking, probability theory, stochastic processes, and queueing. Table of Contents: Networking overview / Graphs / Games / Search in structured networks / Search in unstructured networks / Transactions, reputations, and referrals / False Referrals / Peer-to-peer file sharing / Consensus in dynamical belief systems / Byzantine consensus / Epidemics

The SAGE International Encyclopedia of Mass Media and Society

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Publisher : SAGE Publications
ISBN 13 : 1483375528
Total Pages : 2169 pages
Book Rating : 4.26/5 ( download)

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Book Synopsis The SAGE International Encyclopedia of Mass Media and Society by : Debra L. Merskin

Download or read book The SAGE International Encyclopedia of Mass Media and Society written by Debra L. Merskin and published by SAGE Publications. This book was released on 2019-11-12 with total page 2169 pages. Available in PDF, EPUB and Kindle. Book excerpt: The reference will discuss mass media around the world in their varied forms—newspapers, magazines, radio, television, film, books, music, websites, and social media—and will describe the role of each in both mirroring and shaping society.

Modeling and Optimization in Software-Defined Networks

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Publisher : Springer Nature
ISBN 13 : 303102382X
Total Pages : 160 pages
Book Rating : 4.28/5 ( download)

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Book Synopsis Modeling and Optimization in Software-Defined Networks by : Konstantinos Poularakis

Download or read book Modeling and Optimization in Software-Defined Networks written by Konstantinos Poularakis and published by Springer Nature. This book was released on 2022-06-01 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a quick reference and insights into modeling and optimization of software-defined networks (SDNs). It covers various algorithms and approaches that have been developed for optimizations related to the control plane, the considerable research related to data plane optimization, and topics that have significant potential for research and advances to the state-of-the-art in SDN. Over the past ten years, network programmability has transitioned from research concepts to more mainstream technology through the advent of technologies amenable to programmability such as service chaining, virtual network functions, and programmability of the data plane. However, the rapid development in SDN technologies has been the key driver behind its evolution. The logically centralized abstraction of network states enabled by SDN facilitates programmability and use of sophisticated optimization and control algorithms for enhancing network performance, policy management, and security.Furthermore, the centralized aggregation of network telemetry facilitates use of data-driven machine learning-based methods. To fully unleash the power of this new SDN paradigm, though, various architectural design, deployment, and operations questions need to be addressed. Associated with these are various modeling, resource allocation, and optimization opportunities.The book covers these opportunities and associated challenges, which represent a ``call to arms'' for the SDN community to develop new modeling and optimization methods that will complement or improve on the current norms.

Performance Modeling, Stochastic Networks, and Statistical Multiplexing, Second Edition

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Publisher : Springer Nature
ISBN 13 : 3031792602
Total Pages : 197 pages
Book Rating : 4.01/5 ( download)

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Book Synopsis Performance Modeling, Stochastic Networks, and Statistical Multiplexing, Second Edition by : Ravi Mazumdar

Download or read book Performance Modeling, Stochastic Networks, and Statistical Multiplexing, Second Edition written by Ravi Mazumdar and published by Springer Nature. This book was released on 2022-05-31 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph presents a concise mathematical approach for modeling and analyzing the performance of communication networks with the aim of introducing an appropriate mathematical framework for modeling and analysis as well as understanding the phenomenon of statistical multiplexing. The models, techniques, and results presented form the core of traffic engineering methods used to design, control and allocate resources in communication networks.The novelty of the monograph is the fresh approach and insights provided by a sample-path methodology for queueing models that highlights the important ideas of Palm distributions associated with traffic models and their role in computing performance measures. The monograph also covers stochastic network theory including Markovian networks. Recent results on network utility optimization and connections to stochastic insensitivity are discussed. Also presented are ideas of large buffer, and many sources asymptotics that play an important role in understanding statistical multiplexing. In particular, the important concept of effective bandwidths as mappings from queueing level phenomena to loss network models is clearly presented along with a detailed discussion of accurate approximations for large networks.

Communication Networks

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Publisher : Springer Nature
ISBN 13 : 3031792815
Total Pages : 220 pages
Book Rating : 4.16/5 ( download)

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Book Synopsis Communication Networks by : Jean Walrand

Download or read book Communication Networks written by Jean Walrand and published by Springer Nature. This book was released on 2022-05-31 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 also included. 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.

Network Connectivity

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Publisher : Morgan & Claypool Publishers
ISBN 13 : 1636392962
Total Pages : 165 pages
Book Rating : 4.67/5 ( download)

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Book Synopsis Network Connectivity by : Chen Chen

Download or read book Network Connectivity written by Chen Chen and published by Morgan & Claypool Publishers. This book was released on 2022-01-26 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: Networks naturally appear in many high-impact domains, ranging from social network analysis to disease dissemination studies to infrastructure system design. Within network studies, network connectivity plays an important role in a myriad of applications. The diversity of application areas has spurred numerous connectivity measures, each designed for some specific tasks. Depending on the complexity of connectivity measures, the computational cost of calculating the connectivity score can vary significantly. Moreover, the complexity of the connectivity would predominantly affect the hardness of connectivity optimization, which is a fundamental problem for network connectivity studies. This book presents a thorough study in network connectivity, including its concepts, computation, and optimization. Specifically, a unified connectivity measure model will be introduced to unveil the commonality among existing connectivity measures. For the connectivity computation aspect, the authors introduce the connectivity tracking problems and present several effective connectivity inference frameworks under different network settings. Taking the connectivity optimization perspective, the book analyzes the problem theoretically and introduces an approximation framework to effectively optimize the network connectivity.Lastly, the book discusses the new research frontiers and directions to explore for network connectivity studies. This book is an accessible introduction to the study of connectivity in complex networks. It is essential reading for advanced undergraduates, Ph.D. students, as well as researchers and practitioners who are interested in graph mining, data mining, and machine learning.

Network Games

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Publisher : Springer Nature
ISBN 13 : 3031792483
Total Pages : 143 pages
Book Rating : 4.89/5 ( download)

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Book Synopsis Network Games by : Asu Ozdaglar

Download or read book Network Games written by Asu Ozdaglar and published by Springer Nature. This book was released on 2022-05-31 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traditional network optimization focuses on a single control objective in a network populated by obedient users and limited dispersion of information. However, most of today's networks are large-scale with lack of access to centralized information, consist of users with diverse requirements, and are subject to dynamic changes. These factors naturally motivate a new distributed control paradigm, where the network infrastructure is kept simple and the network control functions are delegated to individual agents which make their decisions independently ("selfishly"). The interaction of multiple independent decision-makers necessitates the use of game theory, including economic notions related to markets and incentives. This monograph studies game theoretic models of resource allocation among selfish agents in networks. The first part of the monograph introduces fundamental game theoretic topics. Emphasis is given to the analysis of dynamics in game theoretic situations, which is crucial for design and control of networked systems. The second part of the monograph applies the game theoretic tools for the analysis of resource allocation in communication networks. We set up a general model of routing in wireline networks, emphasizing the congestion problems caused by delay and packet loss. In particular, we develop a systematic approach to characterizing the inefficiencies of network equilibria, and highlight the effect of autonomous service providers on network performance. We then turn to examining distributed power control in wireless networks. We show that the resulting Nash equilibria can be efficient if the degree of freedom given to end-users is properly designed. Table of Contents: Static Games and Solution Concepts / Game Theory Dynamics / Wireline Network Games / Wireless Network Games / Future Perspectives

Analytical Methods for Network Congestion Control

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Publisher : Springer Nature
ISBN 13 : 3031792750
Total Pages : 193 pages
Book Rating : 4.55/5 ( download)

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Book Synopsis Analytical Methods for Network Congestion Control by : Steven Low

Download or read book Analytical Methods for Network Congestion Control written by Steven Low and published by Springer Nature. This book was released on 2022-05-31 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: The congestion control mechanism has been responsible for maintaining stability as the Internet scaled up by many orders of magnitude in size, speed, traffic volume, coverage, and complexity over the last three decades. In this book, we develop a coherent theory of congestion control from the ground up to help understand and design these algorithms. We model network traffic as fluids that flow from sources to destinations and model congestion control algorithms as feedback dynamical systems. We show that the model is well defined. We characterize its equilibrium points and prove their stability. We will use several real protocols for illustration but the emphasis will be on various mathematical techniques for algorithm analysis. Specifically we are interested in four questions: 1. How are congestion control algorithms modelled? 2. Are the models well defined? 3. How are the equilibrium points of a congestion control model characterized? 4. How are the stability of these equilibrium points analyzed? For each topic, we first present analytical tools, from convex optimization, to control and dynamical systems, Lyapunov and Nyquist stability theorems, and to projection and contraction theorems. We then apply these basic tools to congestion control algorithms and rigorously prove their equilibrium and stability properties. A notable feature of this book is the careful treatment of projected dynamics that introduces discontinuity in our differential equations. Even though our development is carried out in the context of congestion control, the set of system theoretic tools employed and the process of understanding a physical system, building mathematical models, and analyzing these models for insights have a much wider applicability than to congestion control.

Sharing Network Resources

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Publisher : Springer Nature
ISBN 13 : 3031792661
Total Pages : 132 pages
Book Rating : 4.63/5 ( download)

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Book Synopsis Sharing Network Resources by : Abhey Parekh

Download or read book Sharing Network Resources written by Abhey Parekh and published by Springer Nature. This book was released on 2022-06-01 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.