JOURNAL ARTICLE

Energy-Aware Virtual Data Center Migration

Xiao MaZhongbao ZhangSen Su

Year: 2019 Journal:   Journal of Advanced Computational Intelligence and Intelligent Informatics Vol: 23 (2)Pages: 209-218   Publisher: Fuji Technology Press Ltd.

Abstract

Recently, the concept of virtual data center (VDC) has attracted significant attention from researchers. VDC is made up of virtual nodes and virtual links with guaranteed bandwidth. It offers elasticity and flexibility, which means VDC can adjust resources dynamically according to different requirements. Existing studies focus on how to design the optimal embedding algorithm to achieve high success rate for the virtual data center request. However, due to the resource of physical data center changes over time, the optimal solution may become sub-optimal. In this paper, we study the problem of virtual data center migration and propose an energy-aware virtual data center migration algorithm, called CA-VDCM-ACO. This novel algorithm leverages the migration technique to further reduce the energy consumption with the success rate for the physical data center guaranteed. The extensive experiments show that our algorithm is very effective to reduce the energy consumption.

Keywords:
Computer science Data center Energy consumption Virtual machine Distributed computing Bandwidth (computing) Center (category theory) Real-time computing Computer network Operating system

Metrics

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Cited By
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FWCI (Field Weighted Citation Impact)
31
Refs
0.03
Citation Normalized Percentile
Is in top 1%
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Topics

Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
Software-Defined Networks and 5G
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Optical Network Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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