Cooperative cache consistency maintenance for pervasive internet access

被引:1
|
作者
Huang, Yu [1 ,2 ]
Cao, Jiannong [3 ]
Jin, Beihong [4 ]
Tao, Xianping [1 ,2 ]
Lu, Jian [1 ,2 ]
机构
[1] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing 210008, Peoples R China
[2] Nanjing Univ, Dept Comp Sci & Technol, Nanjing 210008, Peoples R China
[3] Hong Kong Polytech Univ, Internet & Mobile Comp Lab, Dept Comp, Kowloon, Hong Kong, Peoples R China
[4] Chinese Acad Sci, Technol Ctr Software Engn, Inst Software, Beijing, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
consistency control initiation; data update propagation; cooperative caching; ad hoc networks;
D O I
10.1002/wcm.819
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Cooperative caching is an important technique to support pervasive Internet access. In order to ensure valid data access, the cache consistency must be maintained properly. However, this problem has not been sufficiently studied in mobile computing environments, especially those with ad hoc networks. There are two essential issues in cache consistency maintenance: consistency control initiation and data update propagation. Consistency control initiation not only decides the cache consistency provided to the users, but also impacts the consistency maintenance cost. This issue becomes more challenging in asynchronous and fully distributed ad hoc networks. To this end, we propose the predictive consistency control initiation (PCCI) algorithm, which adaptively initiates consistency control based on its online predictions of forthcoming data updates and cache queries. In order to efficiently propagate data updates through multi-hop wireless connections, the hierarchical data update propagation (HDUP) algorithm is proposed. Theoretical analysis shows that cooperation among the caching nodes facilitates data update propagation. Extensive simulations are conducted to evaluate performance of both PCCI and HDUP. Evaluation results show that PCCI cost-effectively initiates consistency control even when faced with dynamic changes in data update rate, cache query rate, node speed, and number of caching nodes. The evaluation results also show that HDUP saves cost for data update propagation by up to 66%. Copyright (C) 2009 John Wiley & Sons, Ltd.
引用
收藏
页码:436 / 450
页数:15
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