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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.

Maths for computer scientists --- Communications engineering / telecommunications --- Maths for engineers --- Probability & statistics --- Probability and Statistics in Computer Science --- Communications Engineering, Networks --- Mathematical and Computational Engineering --- Probability Theory and Stochastic Processes --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences --- Mathematical and Computational Engineering Applications --- Probability Theory --- Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences --- Applied probability --- Hypothesis testing --- Detection theory --- Expectation maximization --- Stochastic dynamic programming --- Machine learning --- Stochastic gradient descent --- Deep neural networks --- Matrix completion --- Linear and polynomial regression --- Open Access --- Mathematical & statistical software --- Stochastics

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Computer networks --- Multimedia systems --- High performance computing --- Asynchronous transfer mode --- Wireless communication systems --- Réseaux d'ordinateurs --- Multimédia --- Superinformatique --- Mode de transfert asynchrone --- Transmission sans fil --- Communication systems, Wireless --- Wireless data communication systems --- Wireless information networks --- Wireless telecommunication systems --- Telecommunication systems --- ATM (Data transmission) --- Broadband communication systems --- Packet switching (Data transmission) --- HPC (Computer science) --- Electronic data processing --- Cyberinfrastructure --- Supercomputers --- Computer-based multimedia information systems --- Multimedia computing --- Multimedia information systems --- Multimedia knowledge systems --- Information storage and retrieval systems --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Network computers --- Distributed processing --- Asynchronous transfer mode. --- Computer networks. --- High performance computing. --- Multimedia systems. --- Wireless communication systems. --- Réseaux d'ordinateurs --- Multimédia

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This book results from many years of teaching an upper division course on communication networks in the EECS department at 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 WiMAX and 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 and source compression. Table of Contents: The Internet / Principles / Ethernet / WiFi / Routing / Internetworking / Transport / Models / WiMAX & LTE / QOS / Physical Layer / Additional Topics.

Artificial intelligence. --- Cooperating objects (Computer systems). --- Programming languages (Electronic computers). --- Telecommunication. --- Artificial Intelligence. --- Cyber-Physical Systems. --- Programming Language. --- Communications Engineering, Networks.

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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.

Artificial intelligence. --- Cooperating objects (Computer systems). --- Programming languages (Electronic computers). --- Telecommunication. --- Artificial Intelligence. --- Cyber-Physical Systems. --- Programming Language. --- Communications Engineering, Networks.