A novel approach for enhancing selection of Load Balancing algorithms dynamically in cloud computing

Cloud computing is most recent advanced rising innovation that provides every kind of service to its users. It is generally based on “pay per usage” methodology that provides an immense Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) model that altogether form a cloud. However it also has some issues that is to be resolved. Among many issues, Load balancing is major issue for cloud computing. Load Balancing is the technique to divide the load among different available resources and equalize with virtual machines to achieve efficiency and increases throughput. This paper first of all shows the theoretical study of load balancing and then shows different types of load balancing algorithms used to balance load. Further it also demonstrates and compares algorithms that gives an idea to merge them and have a choice to select dynamically based on some parameters and situation in which they are better for enhancing efficiency and increasing throughput. Experimental results clearly shows that hybrid approach of using different algorithms in different situations can lead to achieve our goal and better results.