New Energy Efficient and SLA-Aware Cloud Resource Management Methodology

Abstract

A well-known method for consolidating and placing virtual machines (VMs) is server virtualization, which has been thoroughly investigated by a number of researchers. This article describes a revolutionary strategy known as an iCloud that promotes categorizing hosts or physical machines (PMs) into four distinct classes to make it easier to pick PMs quickly and decrease the amount of time needed to search host machines (also known as host search time) (HST). In addition, the framework adds VM Acceptance State, a condition that prevents host overloading and significantly lowers SLA time per active host (SLATAH), which in turn lowers the risk of SLA violation (SLAV). Using typical workload traces, the performance of iCloud has been compared to that of alternative methods. An appealing solution for effective management of cloud resources is shown by the empirical assessment that iCloud has the lowest HST and outperforms other ways in terms of SLA violations and ESV (Energy and SLA Violation).