Dynamic replica selection using improved kernel density estimation

Yin Pang*, Kan Li, Xin Sun, Kaili Bu

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Replication service in Distributed Systems can reduce access latency and bandwidth consumption. When different nodes hold replicas accessed, there will be a significant benefit by selecting the best replica. Most of the existed replication strategies deal with the prediction of the response time. However, these strategies do not take fully into account the network dynamic and access locality. To solve this problem, a dynamic replica selection strategy using improved Kernel Density Estimation (KDE) is presented. Firstly, it distinguishes old replicas from new ones. Then, it predicts the network load and available bandwidth to choose the best replica. The improved KDE can select accurately the best accessed replica with only a little history data, which is very useful in a dynamic network. Simulation results demonstrate the efficiency and effectiveness of improved KDE in comparison with other approaches.

源语言英语
主期刊名3rd International Symposium on Intelligent Information Technology and Security Informatics, IITSI 2010
470-474
页数5
DOI
出版状态已出版 - 2010
活动2010 International Symposium on Intelligent Information Technology and Security Informatics, IITSI 2010 - Jinggangshan, 中国
期限: 2 4月 20104 4月 2010

出版系列

姓名3rd International Symposium on Intelligent Information Technology and Security Informatics, IITSI 2010

会议

会议2010 International Symposium on Intelligent Information Technology and Security Informatics, IITSI 2010
国家/地区中国
Jinggangshan
时期2/04/104/04/10

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