Enbase: Energy- Conscious SLA-Oriented Dynamic VM Consolidation Heuristics in Green Data Centres Using Ant Colony System
Sajitha. A.V1, Dr. A.C.Subhajini2
1Sajitha A.V, Research Scholar, Department of Computer Applications, Noorul Islam Centre for Higher Education, Kumaracoil (Tamil Nadu), India.
2Dr. A.C.Subhajini, Assistant Professor, Department of Computer Applications, Noorul Islam Centre for Higher Education, Kumaracoil (Tamil Nadu), India.
Manuscript received on 13 December 2018 | Revised Manuscript received on 22 December 2018 | Manuscript Published on 30 December 2018 | PP: 305-319 | Volume-8 Issue-2S, December 2018 | Retrieval Number: 100.1/ijeat.B10671282S18/18©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cloud computing is an burgeoning technology which offers scalable and on-demand services to huge set of users in variety of domains globally. As the popularity increases, the complication of the cloud environment is also increasing at a massive scale. The foremost challenge of this technology is high amount of energy consumption due to the load of servers. Moreover this crisis, it will not provide fruitful results also. In general, each consumer has a service level agreement (SLA), which states some constraints over performance and/or quality of service that it obtains from the method. The breach of the affirmation may lead to SLA violation between consumer and provider. Dynamic Virtual Machine consolidation (DVMP) offers a momentous prospect to conserve energy in the data centers . A VM consolidation technique employs live migration of Virtual Machines(VMs) in order that the underloaded Physical Machines (PMs) can be turned-off or set into a least-power mode and overloaded PMs are reducing its load. But the VM consolidation in live migration may cause the increase of total migration time as well as down time which again grounds the breach of SLA. In this scenario, we proposed a multi-objective SLA oriented energy efficient and network aware DVMP algorithm which utilizes Ant Colony Optimization meta-heuristic named enBASE which finds out global best migration plan to ensure the migration to increase the energy efficiency, minimization of SLA violation as well as improvement of the scalability of the system. The simulation results prove that the proposed algorithm presents an efficient as well as effective solutions for Dynamic VM consolidation inside the cloud data centers. Furthermore, this outpaces three benchmark algorithms such as two ant colony optimization based and one BFD based VM consolidation algorithms in respect of increase in energy efficiency, and reduction in total migration time, down time while preserving SLA violation minimization.
Keywords: Cloud Computing, Dynamic Virtual Machine Placement, Live Migration, Total Migration Time, Down Time, Ant Colony System, Service Level Agreement
Scope of the Article: Data Mining