Group Based Load Balancing Algorithm in Cloud Computing Virtualization

Efficient allocation of tasks to available resources is a critical problem in cloud computing. Load balancing algorithms are basic approach to optimized resource allocation. This paper presents a static load balancing algorithm to allocate tasks to virtual machines in optimized way. The algorithm is based on a group based allocation strategy. The strategy determines the allocation of virtual machines in a group based on type of task and the configuration of the virtual machine. Using this strategy running cost of virtual machines is optimized. Compared to other algorithms like round robin and weighted round robin, proposed algorithm achieves better CPU utilization. Index Terms Cloud Computing; Virtualization; XEN; load balancing. ________________________________________________________________________________________________________