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Addresses the major issues involved in computer design and
architectures. Dealing primarily with theory, tools, and techniques
as related to advanced computer systems, it provides tutorials and
surveys and relates new important research results. Each chapter
provides background information, describes and analyzes important
work done in the field, and provides important direction to the
reader on future work and further readings. The topics covered
include hierarchical design schemes, parallel and distributed
modeling and simulation, parallel simulation tools and techniques,
theoretical models for formal and performance modeling, and
performance evaluation techniques.
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 [email protected]. This is an open access book.
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 [email protected]. This is an open access book.
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.
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.
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.
In this book, we consider the problem of achieving the maximum
throughput and utility in a class of networks with resource-sharing
constraints. This is a classical problem of great importance. In
the context of wireless networks, we first propose a fully
distributed scheduling algorithm that achieves the maximum
throughput. Inspired by CSMA (Carrier Sense Multiple Access), which
is widely deployed in today's wireless networks, our algorithm is
simple, asynchronous, and easy to implement. Second, using a novel
maximal-entropy technique, we combine the CSMA scheduling algorithm
with congestion control to approach the maximum utility. Also, we
further show that CSMA scheduling is a modular MAC-layer algorithm
that can work with other protocols in the transport layer and
network layer. Third, for wireless networks where packet collisions
are unavoidable, we establish a general analytical model and extend
the above algorithms to that case. Stochastic Processing Networks
(SPNs) model manufacturing, communication, and service systems. In
manufacturing networks, for example, tasks require parts and
resources to produce other parts. SPNs are more general than
queueing networks and pose novel challenges to throughput-optimum
scheduling. We proposes a "deficit maximum weight" (DMW) algorithm
to achieve throughput optimality and maximize the net utility of
the production in SPNs. Table of Contents: Introduction / Overview
/ Scheduling in Wireless Networks / Utility Maximization in
Wireless Networks / Distributed CSMA Scheduling with Collisions /
Stochastic Processing networks
This contributed volume offers a collection of papers presented at
the 2018 Network Games, Control, and Optimization conference
(NETGCOOP), held at the New York University Tandon School of
Engineering in New York City, November 14-16, 2018. These papers
highlight the increasing importance of network control and
optimization in many networking application domains, such as mobile
and fixed access networks, computer networks, social networks,
transportation networks, and, more recently, electricity grids and
biological networks. Covering a wide variety of both theoretical
and applied topics in the areas listed above, the authors explore
several conceptual and algorithmic tools that are needed for
efficient and robust control operation, performance optimization,
and better understanding the relationships between entities that
may be acting cooperatively or selfishly in uncertain and possibly
adversarial environments. As such, this volume will be of interest
to applied mathematicians, computer scientists, engineers, and
researchers in other related fields.
The book is designed for a junior/senior level course. Applications
drive the material: PageRank, Multiplexing, Digital Link, Tracking,
Speech Recognition, Route Planning and more. Topics include Markov
chains, detection, coding, estimation, Viterbi algorithm,
expectation maximization, clustering, compressed sensing,
recommender systems, Kalman Filter, Markov decision problems, LQG,
and channel capacity. Matlab examples are used to simulate models
and to implement the algorithms. Appendices provide the necessary
background in basic probability and linear algebra. See https:
//sites.google.com/site/walrandpeecs/home.
Focuses on the argument that performance modelling and simulation
has become a central issue in computer science and engineering, in
part due to its applications to the structures comprising the
internet. Dealing primarily with theory, tools, and techniques
related to communications systems, it provides tutorials and
surveys and relates new important research results. Each chapter
provides background information, describes and analyses important
work done in the field, and provides important direction to the
reader on future work and further readings. The topics covered
include traffic models for ATM networks, simulation environments,
analytical methods, interprocessor communications and an evaluation
of process architectures.
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