Virtual Machine Placement Using Multi-Objective Bat Algorithm With Decomposition in Distributed Cloud: MOBA/D for VMP

Virtual machine placement in cloud computing considering multiple objectives is one of the significant issues in modern virtualized datacenters. Many businesses and organizations are outsourcing their computational workload to the cloud datacenters, which increases datacenter energy consumption and...

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Published in:International journal of applied metaheuristic computing Vol. 12; no. 4; pp. 62 - 77
Main Authors: Venkataraman, NeelaNarayanan, Gopu, Arunkumar
Format: Journal Article
Language:English
Published: IGI Global 01.10.2021
Subjects:
Algorithms
Cloud computing
File servers
Middleware
India
ISSN:1947-8283, 1947-8291
Online Access:Get full text
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Abstract Virtual machine placement in cloud computing considering multiple objectives is one of the significant issues in modern virtualized datacenters. Many businesses and organizations are outsourcing their computational workload to the cloud datacenters, which increases datacenter energy consumption and emission of CO2. In particular, allocating a virtual machine to a physical server in the community cloud model is even challenging due to its dynamic nature. Unlike public clouds, cloud servers are not always available in the same location. In this paper, a bio-inspired bat algorithm using decomposition (MOBA/D) is proposed to reduce three different objectives namely minimization of power consumption, minimization of network latency, and maximization of economical revenue. The performance of the proposed algorithm is compared with other multi-objective algorithms in terms of feasible solutions and execution time.
AbstractList Virtual machine placement in cloud computing considering multiple objectives is one of the significant issues in modern virtualized datacenters. Many businesses and organizations are outsourcing their computational workload to the cloud datacenters, which increases datacenter energy consumption and emission of CO2. In particular, allocating a virtual machine to a physical server in the community cloud model is even challenging due to its dynamic nature. Unlike public clouds, cloud servers are not always available in the same location. In this paper, a bio-inspired bat algorithm using decomposition (MOBA/D) is proposed to reduce three different objectives namely minimization of power consumption, minimization of network latency, and maximization of economical revenue. The performance of the proposed algorithm is compared with other multi-objective algorithms in terms of feasible solutions and execution time.
Audience Academic
Author Venkataraman, NeelaNarayanan
Gopu, Arunkumar
AuthorAffiliation VIT University, India
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SubjectTerms Algorithms
Cloud computing
File servers
Middleware
Title Virtual Machine Placement Using Multi-Objective Bat Algorithm With Decomposition in Distributed Cloud: MOBA/D for VMP
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