"A Cooperative Game Theoretic Approach for Data Replication in Mobile A" by Dan Hirsch and Sanjay Madria
 

Abstract

The mobile computing environment provides many benefits such as ubiquitous access to computing but include constraints on resources such as: Available bandwidth and battery life. Replication is a widely recognized method for balancing the demands of storage space with bandwidth and battery life. We propose a novel scheme that seeks to strategically balance these constrained resources through a cooperative game-theoretic approach for replication in a mobile environment. Our replication strategy relies on the cooperation of the nodes within the network to make replica caching decisions which are spatiotemporally local-optimal for the network from an energy and bandwidth conservation standpoint. in cooperative altruistic data replication, CADR, each node calculates the net global benefit, NGB, for caching a replica of the requested data, as the result data is returned from the responding node to the requesting node, where it is then determines the spatiotemporally local-optimal node for replicating the data item. Performance results from our research indicate that our scheme, CADR, improves the query response time by 25% and 45%, mean hop count is improved by 26% and 46%, query error is reduced by 30% and 48%, while energy utilization is reduced 30% and 57% when compared with both another game theoretic replication approach and standard cooperative caching respectively. © 2011 ICST.

Department(s)

Computer Science

Keywords and Phrases

game-theoretic; mobile; replication

International Standard Book Number (ISBN)

978-193696836-7

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 ICST, All rights reserved.

Publication Date

01 Dec 2011

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