A Survey of Virtual Machine Placement Techniques in a Cloud Data Center

Procedia Computer Science, Journal Year: 2016, Volume and Issue: 78, P. 491 - 498

Published: Jan. 1, 2016

Energy consumption of massive-scale cloud data centers is increasing unacceptably. There a need to improve the energy efficiency such using Server Consolidation which aims at minimizing number Active Physical Machines (APMs) in center. Effective VM placement and migration techniques act as key optimum consolidation. Many recently proposed realize dynamic consolidation while optimizing placement. This paper presents comprehensive study state-of-the-art used green focus on improving efficiency. A detailed comparison presented, revealing pitfalls suggesting improvisation methods along this direction.

Language: Английский

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Energy-aware virtual machine allocation for cloud with resource reservation

Journal of Systems and Software, Journal Year: 2018, Volume and Issue: 147, P. 147 - 161

Published: Oct. 20, 2018

Language: Английский

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Multi-Objective Energy Efficient Virtual Machines Allocation at the Cloud Data Center

IEEE Transactions on Services Computing, Journal Year: 2016, Volume and Issue: 12(1), P. 158 - 171

Published: July 29, 2016

Due to the growing demand of cloud services, allocation energy efficient resources (CPU, memory, storage, etc.) and utilization are major challenging issues a large data center. In this paper, we propose an Euclidean distance based multi-objective in form virtual machines (VMs) designed VM migration policy at Further VMs Physical Machines (PMs) is carried out by our proposed hybrid approach Genetic Algorithm (GA) Particle Swarm Optimization (PSO) referred as HGAPSO. The HGAPSO not only saves consumption minimizes wastage but also avoids SLA violation To check performance algorithm technique consumption, violation, performed extended amount experiment both heterogeneous homogeneous center environments. with migration, compared work branch-and-bound exact algorithm. experimental results show superiority over terms efficiency, optimal utilization, violation.

Language: Английский

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Approaches for optimizing virtual machine placement and migration in cloud environments: A survey

Journal of Parallel and Distributed Computing, Journal Year: 2017, Volume and Issue: 111, P. 222 - 250

Published: Sept. 20, 2017

Language: Английский

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An improved Lévy based whale optimization algorithm for bandwidth-efficient virtual machine placement in cloud computing environment

Cluster Computing, Journal Year: 2018, Volume and Issue: 22(S4), P. 8319 - 8334

Published: Jan. 24, 2018

Language: Английский

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