NDLI: Layering as Optimization Decomposition: A Mathematical Theory of Network Architectures

Content Provider	IEEE Xplore Digital Library
Author	Mung Chiang Low, S.H. Calderbank, A.R. Doyle, J.C.
Copyright Year	1963
Abstract	Network protocols in layered architectures have historically been obtained on an ad hoc basis, and many of the recent cross-layer designs are also conducted through piecemeal approaches. Network protocol stacks may instead be holistically analyzed and systematically designed as distributed solutions to some global optimization problems. This paper presents a survey of the recent efforts towards a systematic understanding of layering as optimization decomposition, where the overall communication network is modeled by a generalized network utility maximization problem, each layer corresponds to a decomposed subproblem, and the interfaces among layers are quantified as functions of the optimization variables coordinating the subproblems. There can be many alternative decompositions, leading to a choice of different layering architectures. This paper surveys the current status of horizontal decomposition into distributed computation, and vertical decomposition into functional modules such as congestion control, routing, scheduling, random access, power control, and channel coding. Key messages and methods arising from many recent works are summarized, and open issues discussed. Through case studies, it is illustrated how layering as Optimization Decomposition provides a common language to think about modularization in the face of complex, networked interactions, a unifying, top-down approach to design protocol stacks, and a mathematical theory of network architectures
Sponsorship	IEEE Publication
Starting Page	255
Ending Page	312
Page Count	58
File Size	3308801
File Format	PDF
ISSN	00189219
Volume Number	95
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-01-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Protocols Design optimization Cross layer design Communication networks Utility programs Computer architecture Distributed computing Routing Processor scheduling Power control wireless communications Ad hoc network channel coding computer network congestion control cross-layer design distributed algorithm feedback control game theory Internet Lagrange duality medium access control (MAC) network utility maximization (NUM) optimization power control r everse-engineering routing scheduling stochastic networks transmission control protocol (TCP)/Internet protocol (IP)
Content Type	Text
Resource Type	Article
Subject	Computer Science Electrical and Electronic Engineering

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