CAJ | 학술논문

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.
재구건고가용성P2P존저계통적과정중,침대계통중절점적고도동태특정,설계료일충자반궤적심도고장검측산법.타결합심도책략화무편회색예측모형,근거응용수구화망락배경적변화동태지개변검측적질량,재보지일정검측시간적전제하,제고료고장검측적정도.실험표명,근거해산법실현적고장검측기구유교호적성능,제고료P2P존저계통적가용성.
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 componems to build a reliable P2P strorage systems.To address the highly dynamic characteristics of system nodes,a self-tuning heartbeat fault detection algorithm,which carl 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.