DSpace Collection:http://localhost:8080/xmlui/handle/123456789/28282026-06-23T06:32:43Z2026-06-23T06:32:43ZA Novel Energy Efficient and SLA-Aware Approach for Cloud Resource ManagementSane, Shirish S.Shelar, Madhukarhttp://localhost:8080/xmlui/handle/123456789/28292020-12-08T06:08:44Z2019-06-02T00:00:00ZTitle: A Novel Energy Efficient and SLA-Aware Approach for Cloud Resource Management
Authors: Sane, Shirish S.; Shelar, Madhukar
Abstract: Server virtualization is a well-known technique for virtual machine (VM) placement and consolidation
and has been studied extensively by several researchers. This article presents a novel approach called
aiCloud that advocates segmentation of hosts or physical machines (PMs) into four different classes
that facilitates quick selection of PMsto reduce the time required to search host machines, called host
search time (HST). The framework also introduces VM_Acceptance_State, a condition that avoids
host overloading, which leads to significant reduction of SLA time per active host (SLATAH) that
in turn reduces SLA violation (SLAV). The performance of aiCloud has been compared with other
approaches using standard workload traces. Empirical evaluation presented shows that aiCloud has
least HST and outperforms other approaches in terms of SLA violations and ESV (Energy and SLA
Violation) and therefore may be an attractive strategy for efficient management of cloud resources2019-06-02T00:00:00Z