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。
Peer-to-Peer（P2P） storage systems have a lot of attractive advantages, such as self-organizing, scalability and fault tolerance. Fault detection must be one of basic components to build a reliable P2P storage systems. To 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 quality 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.
出处
《计算机科学》
CSCD
北大核心
2010年第2期48-52,77,共6页
Computer Science
基金
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
关键词
可用性
自反馈
心跳
对等存储系统
故障检测
Availability, Self-feedback, Heartbeat, P2P storage systems, Fault detection
