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…mehr
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
Produktdetails
Produktdetails
Synthesis Lectures on Learning, Networks, and Algorithms
Libin Jiang received the bachelor of engineering degree in electronic engineering and nformation science from the University of Science and Technology of China, Hefei, China, in 2003,the master of philosophy degree in information engineering from the Chinese University of Hong Kong, Shatin,Hong Kong, in 2005, and the Ph.D. degree in electrical engineering and computer sciences from the University of California, Berkeley, in 2009. His research interest includes wireless networks, communications, and game theory. He received the David Sakrison Memorial Prize for outstanding doctoral research in UC Berkeley, and the best presentation award in the ACM Mobihoc'09 S3 Workshop. Jean Walrand received his Ph.D. in EECS from UC Berkeley, and has been on the faculty of that department since 1982. He is the author of An Introduction to Queueing Networks (Prentice Hall, 1988) and of Communication Networks: A First Course (2nd ed. McGraw-Hill,1998), and co-author of High-Performance Communication Networks (2nd ed, Morgan Kaufman, 2000) and of Scheduling and Congestion Control for Communication and Processing Networks (Morgan & Claypool, 2010). His research interests include stochastic processes, queuing theory, communication networks, game theory and the economics of the Internet. Prof. Walrand is a Fellow of the Belgian American Education Foundation and of the IEEE, and a recipient of the Lanchester Prize and of the Stephen O. Rice Prize.
Inhaltsangabe
Introduction.- Overview.- Scheduling in Wireless Networks.- Utility Maximization in Wireless Networks.- Distributed CSMA Scheduling with Collisions.- Stochastic Processing networks.
