Competitive Algorithms for Distributed Data Management

We deal with the competitive analysis of algorithms for managing data in a distributed environment. We deal with the file allocation problem, where copies of a file may be be stored in the local storage of some subsets of processors. Copies may be replicated and discarded over time so as to optimize...

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Bibliographic Details
Published in:Journal of computer and system sciences Vol. 51; no. 3; pp. 341 - 358
Main Authors: Bartal, Y., Fiat, A., Rabani, Y.
Format: Journal Article Conference Proceeding
Language:English
Published: Brugge Elsevier Inc 01.12.1995
Academic Press
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ISSN:0022-0000, 1090-2724
Online Access:Get full text
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Summary:We deal with the competitive analysis of algorithms for managing data in a distributed environment. We deal with the file allocation problem, where copies of a file may be be stored in the local storage of some subsets of processors. Copies may be replicated and discarded over time so as to optimize communication costs, but multiple copies must be kept consistent and at least one copy must be stored somewhere in the network at all times. We deal with competitive algorithms for minimizing communication costs, over arbitrary sequences of reads and writes, and arbitrary network topologies. We define the constrained file allocation problem to be the solution of many individual file allocation problems simultaneously, subject to the constraints of local memory size. We give competitive algorithms for this problem on the uniform network topology. We then introduce distributed competitive algorithms for on-line data tracking (a generalization of mobile user tracking) to transform our competitive data management algorithms into distributed algorithms themselves.
ISSN:0022-0000
1090-2724
DOI:10.1006/jcss.1995.1073