【摘要】 现代负载均衡已经成为云计算中虚拟资源管理和调度的核心。针对现有云计算弹性负载均衡存在的不足,提出了一种基于预测的弹性负载均衡资源管理算法(TeraPELB),不仅能更加灵活地动态调配资源,而且支持基于负载的趋势预测。理论分析和仿真实验表明,随着网络负载的变动,TeraPELB算法能根据负载变化情况动态地调整后端服务器集群的处理能力,解决了从云中申请虚拟机具有延迟性而导致迟滞甚至无法满足用户请求的问题,相较于传统的弹性负载均衡算法效果更好。更多还原

【Abstract】 Load balancing is the core of virtual resource management and scheduling in cloud computing.To overcome the drawbacks of the existing elastic load balancing in cloud computing,an algorithm of prediction-based elastic load balancing resource management(TeraPELB) was proposed,which not only could dynamically deploy resources more flexibly,but also support load-based trend prediction.Theoretical analysis and simulation experiments show that the required number of virtual machines change in compliance with the change of network load,thus TeraPELB is able to dynamically adjust the processing capacity of back-end server cluster with the applied load,and overcomes the drawback that it might lead network service response to turn slow even no response as hysteresis of the applied virtual machine from the cloud.Compared with the traditional elastic load balancing algorithm,TeraPELB is more reasonable for providing scalability and high availability.更多还原