计算机科学 ›› 2010, Vol. 37 ›› Issue (2): 48-52.

• 计算机网络与信息安全 • 上一篇    下一篇

一种适用于P2P存储系统的自反馈故障检测算法

万亚平,冯丹,欧阳利军,刘立,杨天明   

  1. (华中科技大学计算机科学与技术学院 武汉430074);(南华大学计算机科学与技术学院 衡阳421001)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家973基础研究计划(2004CB318201)专项基金,教育部创新团队(No.IRT-0725) ,湖南省教育厅课题(06C728)资助。

Self-feedback Fault Detection Algorithm for Peer-to-Peer Storage System

WAN Ya-ping,FENG Dan,OUYANG Li-jun,LIU Li,YANG Tian-ming   

  • Online:2018-12-01 Published:2018-12-01

摘要: 在构建高可用性P2P存储系统的过程中,针对系统中节点的高度动态特征,设计了一种自反馈的心跳故障检测算法。它结合心跳策略和无偏灰色预测模型,根据应用需求和网络环境的变化动态地改变检测的质量,在保持一定检测时间的前提下,提高了故障检测的精度。实验表明,根据该算法实现的故障检测器具有较好的性能,提高了P2P存储系统的可用性。

关键词: 可用性,自反馈,心跳,对等存储系统,故障检测

Abstract: Peer-to-Peer(P2P) storage systems have a lot of attractive advantages, such as self-organizing, scalabihty and fault tolerance. Fault detection must be one of basic components to build a reliable P2P storage systems. I}o address the highly dynamic characteristics of system nodes, a self-tuning heartbeat fault detection algorithm, which can combine heartbeat strategy with unbiased grey prediction model, was designed to improve the fault detection duality of system (QoS) according to the application needs and network environment changes. The results show that,on the basis of the algorithm implementation,fault detectors have better performance.

Key words: Availability, Self-feedback, Heartbeat, P2P storage systems, Fault detection

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