Load balancing in cloud data center using modified active monitoring load balancer
Ankit Kumar, Mala Kalra · 2016
Cloud Computing is a hot topic of research for the researchers these days. With the rapid growth of Internet technology cloud computing have become main source of computing for small as well big IT companies. In the cloud computing milieu the cloud data centers and the users of the cloud-computing are globally situated, therefore it is a big challenge for cloud data centers to efficiently handle the requests which are coming from millions of users and service them in an efficient manner. Load balancing in this environment means equal distribution of workload across all the nodes. Load balancing provides a way of achieving the proper utilization of resources and better user satisfaction. Hence, use of an appropriate load balancing algorithm is necessary for selecting the virtual machines or servers. This paper focuses on the load balancing algorithm which distributes the incoming jobs among VMs optimally in cloud data centers. The proposed algorithm in this paper has been implemented using CloudAnalyst simulator and the performance of the proposed algorithm is compared with the three algorithms which are preexists on the basis of response time. The experiment carried out in the paper shows that the proposed algorithm performs better than the existing algorithms.