TeraPELB-an Algorithm of Prediction-based Elastic Load Balancing in Cloud Computing

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.