Cloud Partitioning Based Load Balancing Model for Cloud Service Optimization?

Cloud computing is a new phenomenon or technology that paves way for new model of computing. Cloud offers many services including Infrastructure as a Service (IaaS). With respect to this service optimal utilization of infrastructure services is essential for sustainable server provision. Towards this end, in this paper, a load balancing model is designed and implemented using CloudSim. This is achieved by dividing a cloud into many partitions. Each partition can have multiple nodes for processing data. Each partition is equipped with a load balancer which monitors the load of the nodes in the partition. Each partition can have the load status such as “Idle”, “Normal” and “Overloaded”. A controller will be on top of all partitions. The controller has coordinated communication with load balancers which takes load balancing decisions on the fly based on the status information provided load balancers. We built a prototype application that demonstrates the proof of concept. The simulation results reveal that the cloud partitioning approach is very useful in load balancing for optimized cloud services.