摘要
为了实现动态、不稳定环境下的可靠P2P计算,提出了一种基于概率冗余调度的可靠P2P计算模型.该模型利用P2P任务调度成功率与资源稳定性、资源冗余度之间的概率关系计算任务调度的优化冗余度,不仅能获得较好的任务调度性能,而且在概率上保证了系统任务调度的可靠性.文中还设计了基于概率冗余的可靠任务调度算法,实验结果验证了提出的模型和算法的有效性.
In order to implement reliable peer-to-peer(P2P) computation in dynamic and unstable environments,a reliable P2P computing model based on the probabilistic redundant scheduling is established.In this model,the relationship among the success rate of P2P scheduling,the resource stability and the resource redundancy is used to obtain an optimal redundancy of task scheduling,improve the scheduling performance,and guarantee the reliability of P2P scheduling by probability.Moreover,a reliable probabilistic redundancy-based algorithm for task scheduling is designed,and the effectiveness of the proposed model and algorithm are validated by experiments.
出处
《华南理工大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2010年第6期84-88,共5页
Journal of South China University of Technology(Natural Science Edition)
基金
广东省中国科学院全面战略合作项目(x2jsF7091990)
华南理工大学中央高校基本科研业务费专项资金资助项目(2009ZM0103)
关键词
概率
冗余调度
可靠性
对等网络
probability
redundant scheduling
reliability
peer-to-peer