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A predictive approach to achieving consistency in cooperative caching in MANET
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Source ACM International Conference Proceeding Series; Vol. 152 archive
Proceedings of the 1st international conference on Scalable information systems table of contents
Hong Kong
SESSION: P2PIM workshop table of contents
Article No. 50  
Year of Publication: 2006
ISBN:1-59593-428-6
Authors
Yu Huang  Univ. of Science and Technology of China, Hefei, China and Hong Kong Polytechnic Univ., Kowloon, Hong Kong
Jiannong Cao  Hong Kong Polytechnic Univ., Kowloon, Hong Kong
Beihong Jin  Chinese Academy of Sciences, Beijing, China
Publisher
ACM  New York, NY, USA
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ABSTRACT

Cooperative caching is a very important technique for efficient data dissemination and sharing in mobile ad hoc networks (MANETs). Many applications have requirements on the consistency of the content cached on different nodes. However, this issue has not been adequately addressed and few of the existing solutions are really adaptive in a dynamic MANET environment. In this paper, we propose a predictive algorithm called PCC (Predictive Caching Consistency) that can make on-line tradeoff between the level of consistency of cached data and the overhead associated with achieving it. Simulation results show that PCC works adaptively and efficiently in a MANET environment, even with dynamic changes in the size of the network, mobility model of nodes, number of queries, and frequency of data updates.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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J. Ziv and A. Lempel, Compression of individual sequences via variable-rate coding, IEEE Transactions on Information Theory 24(5) 530--536, 1978.
 
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J. Cao, Y. Zhang, L. Xie and G. Cao, Consistency of Cooperative Caching in Mobile Peer-to-Peer Systems Over MANET, accepted by Intl. J. of Parallel, Emergent, and Distributed Systems.
 
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Collaborative Colleagues:
Yu Huang: colleagues
Jiannong Cao: colleagues
Beihong Jin: colleagues