Presentation 2008-07-11
Caching Strategy based on Change of Query Trends in P2P Networks
Masato DOI, Shingo ATA, Ikuo OKA,
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Abstract(in English) In P2P file sharing systems, caching of contents is one of practical methods to improve the search efficiency and the load balancing. Since the resources (e.g., disk spaces) for caching are limited, the contents to be cached may vary according to the cache replacement algorithm. However, typical cache replacement algorithms do not consider the time-dependent trends of query keywords, many of caches are not utilized effectively, which limits the improvement of performance by caching. In this paper, we propose a new cache replacement algorithm by taking the time-dependent trends of query words into consideration. Specifically, we categolize most frequent search words in Google into four types according to time-dependent variance of frequency obtained by Google Trends, and propose a newcache replacement algorithm based on categolization. Through numerical examples we show that our method can improve 24% of cache utilization compared to current replacement algorithms.
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Keyword(in English) P2P Network / File Sharing System / Query Trends / Replication / Cache replacement algorithm
Paper # ICM2008-39
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Committee ICM
Conference Date 2008/7/3(1days)
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Registration To Information and Communication Management(ICM)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Caching Strategy based on Change of Query Trends in P2P Networks
Sub Title (in English)
Keyword(1) P2P Network
Keyword(2) File Sharing System
Keyword(3) Query Trends
Keyword(4) Replication
Keyword(5) Cache replacement algorithm
1st Author's Name Masato DOI
1st Author's Affiliation Graduate School of Engineering, Osaka City University()
2nd Author's Name Shingo ATA
2nd Author's Affiliation Graduate School of Engineering, Osaka City University
3rd Author's Name Ikuo OKA
3rd Author's Affiliation Graduate School of Engineering, Osaka City University
Date 2008-07-11
Paper # ICM2008-39
Volume (vol) vol.108
Number (no) 123
Page pp.pp.-
#Pages 6
Date of Issue