Özet:

Abstract To efficiently develop cloud computing at the lowest price and the shortest time to deliver assets, task planning with Virtual Machines (VMs) has been crucial. the current report's several investigation holes for work scheduling optimization. This study included information and should be processed to solve the load balancing mechanism in the cloud environment. In this research, strategy-oriented combined support and load balancing structure has been created to maximize the use of virtual machines using similar weight distribution. The suggested method integrates heuristic and metaheuristic techniques to attain its optimal makespan& pricing efficiency HPOFT-MACO structure used two-step methodologies called Heuristics Predict Origin Finish Time (HPOFT) & Metaheuristic Ant Colony Optimization (MACO) to improve job management as well as cut costs and time.

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