An Efficient Job Scheduling in Isometric HPCLOUD Using ZBLA Optimization

Efficient scheduling of jobs in the cloud environment has become the important criteria to determine the system performance. To improve the user's satisfaction in scheduling of jobs there should be an efficient optimization algorithm to distribute the jobs in cloud environment which eventually leads to dynamic allocation of resources in distributed environment. An efficient optimization algorithm named Zone-Based Bee Life Algorithm (ZBLA) has been proposed on a Hyper Cubic Peer-to-Peer cloud (HPCLOUD) in a structured peer-to-peer framework implemented on the cloud environment. We have compared ZBLA with the Bees life algorithm (BLA) which allocates the jobs faster in addition the network is fault tolerant and scalable with the Isometric partitioned distributed computing paradigm.