Churn Impact on Replicated Data Duration in Structured P2P Networks

  • Authors:
  • Guangping Xu;Wenhui Ma;Gang Wang;Xiaoguang Liu;Jing Liu

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • WAIM '08 Proceedings of the 2008 The Ninth International Conference on Web-Age Information Management
  • Year:
  • 2008

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Abstract

This paper analyzes churn impact on replicated data duration with different node lifetime distributions. In structured overlay networks, churn includes node-join churn and node-failure churn, caused by the arrival and departure of nodes separately. The paper introduces a duration model of replicated data under node-failure churn for node failure directly leads to data loss. Furthermore, it investigates the impact of node-join churn on the duration of replicated data for different node-lifetime distributions. The paper presents that node-churn will negatively impact on replicated data duration for heavy-tailed distribution and Weibull distribution except exponential distribution. Then we evaluate the impact on replicated data duration with two real-world trace datasets. The experimental results show the negative impact of node-join churn for different node-join churn degrees. Finally, the paper discusses an enhancement by setting a trial period for every fresh node. By experiment, it is an effective way to reduce the negative impact of node-join churn due to the memory property of node lifetime distributions.