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Virtual Machine Consolidation in Cloud Data Centers using ACO Metaheuristic Md Hasanul Ferdaus1 , Manzur Murshed2 , Rodrigo N. Calheiros3 , Rajkumar Buyya3 1
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Document Date: 2014-06-22 22:48:37

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File Size: 503,38 KB

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Company

Dell / Amazon / Google / Intel / /

Country

Australia / /

Facility

Federation University / University of Melbourne / Monash University / /

IndustryTerm

local search algorithm / reference baseline algorithm / far found global-best-solution / server consolidation algorithm / greedy solutions / high energy consumption / consolidation algorithms / higher energy consumption / consolidation algorithm / energy inefficiency / empty solution / energy / energy costs / energy consumption / greedy algorithms / genetic algorithm / average energy / active server / greedy algorithm / placement solutions / energy saving / computing / lesser energy consumption / physical server / ant.solution / search space / /

OperatingSystem

VMs / /

Organization

Faculty of Science / University of Melbourne / Federation University Australia / Faculty of Information Technology / Monash University / Department of Computing and Information Systems / School of Information Technology / /

Person

R. Each / Min Ant / Van / PM PE / Resource Wastage (Normalized) / /

Position

Prime Minister / server consolidation manager / model / /

ProgrammingLanguage

Java / /

PublishedMedium

Parameters / /

Technology

local search algorithm / Virtual Machine / multi-objective ACO algorithm / RAM / ACO algorithm / Ref Algorithm / FFD-based algorithms / Information Technology / server consolidation algorithm / AVVMC VM consolidation algorithm / reference baseline algorithm / proposed AVVMC algorithm / FFD algorithm / Virtualization technologies / consolidation algorithms / VM consolidation algorithm / ACO-based algorithms / 4.2 AVVMC Algorithm / Java / greedy algorithm / SAN / simulation / ACS algorithm / /

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