An Improved Energy-Efficient Hybrid Framework Eehf – Algorithm for Green Cloud Computing

Abstract

This paper deals with the relocation of multi-target Virtual Machines (VMs) in a cloud server farm. The proposed VM movement technique at the cloud server farm meanders VMs from underutilized to full capacity Physical Machines (PMs) to energy-efficient Physical Machines (PMs). Furthermore, the multi-target VMs relocation technique not only reduces the forced use of PMs and switches but also confirms the essence of administration by preserving the SLA at the cloud server farm. A novel energy-efficient hybrid (EEHF) system for enhancing the proficiency of electrical energy usage in data centers is carried out and evaluated in this paper. Instead of focusing on only one approach as in previous related works, the proposed system is truly based on solicitation preparation and worker booking. Until managing the preparation, the EEH system sorts the errand clients’ requests according to their time and force requirements. It has a booking system that takes power use into account when making planning decisions. It also has a precise calculation that determines if under burdened employees should be rested or dozed in overburdened workers, virtual machines that should be floated, and workers that will receive moved virtual machines VMs. When compared to other strategies, our proposed VMs development strategy may find a great balance among three conflict goals. Furthermore, the shroud-based cloud sim test results show that our proposed multi-target VMs relocation strategy outperforms best-in-class VMs movement strategies like the Random VMs relocation system in terms of energy efficiency and SLA penetration at the cloud server farm.