Decentralized, Energy-Efficient, Low Latency and Less Homogeneous Settings based Workload Management in Enterprise Clouds

The main objective of this paper is to present a decentralized approach towards energy-efficient and scalable management of virtual machine (VM) cases that are provisioned by large, enterprise clouds. In this proposed approach, the computation information?s of the data centre are successfully organized into a hypercube constitution. The hypercube flawlessly scales up and down as resources are either added or eliminated in retort to changes in the number of conditioned VM instances. Without supervision from any central components, each compute node functions separately and manages its hold workload by applying a set of allocated load balancing laws and algorithms. For less Homogeneous setting, planned to add additional parameters in Load balancing algorithm. For Decreased Network Latency between Co-Located VMs, planned to combine communication-aware inter-VM scheduling (CIVSched) technique into Load balancing scheme to allow for a more fine grained selection of the VM instances to be migrated.