Power Aware Based Workflow Model Optimization Using Fuzzy Bee Colony Method

Grid computing uses the concept of resource sharing which is used in virtual machines and cores, to enhance the capacity of a parallel CPU. The energy utilized and the time taken for executing a task is the most important criteria to be considered during the work-flow scheduling. This paper recommends the frame work of PERMA-G implementing the techniques of optimization, modeled after the fuzzy bee colony method as a solution to the issues of energy utilization and task completion time by the virtual machines. It replicates the honey bees’ nature on fuzzy to dynamically calculate the time taken to run the computational task schedules to decrease the power utilization, cost and the task completion time. Performance evaluation is on the basis of service for Grid, power utilization and process.