NDLI: Distributed Utility Maximization for Network Coding Based Multicasting: A Critical Cut Approach

Content Provider	IEEE Xplore Digital Library
Author	Yunnan Wu Mung Chiang Sun-Yuan Kung
Copyright Year	2006
Description	Author affiliation: Microsoft Research, One Microsoft Way, Redmond, WA, 98052. yunnanwu@microsoft.com (Yunnan Wu)
Abstract	A central issue in practically deploying network coding in a shared network is the adaptive and efficient allocation of network resources. This issue can be formulated as an optimization problem of maximizing the net-utility — the difference between a utility derived from the attainable multicast throughput and the total cost of resource provisioning. We develop a primal-subgradient type distributed algorithm to solve this utility maximization problem. The effectiveness of the algorithm hinges upon two key properties we discovered: (1) the set of subgradients of the multicast capacity is the convex hull of the indicator vectors for the critical cuts, and (2) the complexity of finding such critical cuts can be reduced by exploiting the algebraic properties of linear network coding. The extension to multiple multicast sessions is also carried out. The effectiveness of the proposed algorithm is confirmed by simulations on an Internet Service Provider’s topology.
Starting Page	1
Ending Page	6
File Size	198453
Page Count	6
File Format	PDF
ISBN	0780395492
DOI	10.1109/WIOPT.2006.1666491
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-02-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multicast algorithms Adaptive systems Web and internet services Network coding Fasteners Throughput Cost function Vectors Resource management Distributed algorithms
Content Type	Text
Resource Type	Article

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