The load balancing based on the estimated finish time of tasks in cloud computing

The performance parameters are parameters with which we measure and test the profitability and the performances of several static or dynamic load balancing algorithms. The static load balancing algorithms, share the client query between virtual machines in a data center for the processing. But, there is a problem when it comes to the current load of each virtual machine. The dynamic algorithms as "Efficient Response Time Load Balancer" and "Mini time processing load balancer" prove to be a solution to respond to this problem The advantage of these algorithms, before allocating a task, is that they search in the allocation tables on the virtual machine, with a metric which is quite inferior (be it the response time or the processing time). In this paper, we propose a new improvement of the load balancing by the algorithm "estimated finish time load balancer", that takes into account, the current load of the virtual machine of a data center and the estimation of the processing finish time of a task before any allocation, in order to overcome the problems caused by the static algorithms. The algorithm "estimated finish time load balancer" allows cloud service providers, to improve the performance, availability and maximize the use of virtual machines in their data centers.