MEF:CLOUD RESOURCE SCHEDULING METHOD BASED ON ONLINE FAULT TOLERANCE
The key to cloud computing system efficiency is to improve resource utilization and performance,and the key to system reliability is backup components.In order to minimize task completion time and optimize fault-tolerant cost in cloud environment,an online fault-tolerant resource scheduling method for cloud computing is proposed.Online fault tolerance has static and dynamic properties.The LeaderRank algorithm was improved to backup key components according to component reliability and completion process reliability.The dynamic fault tolerance could quickly replace the fault components when the fault occurs.The MEF algorithm was used to achieve the multi-objective optimization with short task completion time and low fault tolerance cost.Experimental results show that compared with the existing fault-tolerant methods,MEF algorithm not only reduces the cost of fault-tolerant,but also enhances the system efficiency.
万方数据
维普
