Virtual Machine Consolidation in Cloud Data Centers Using ACO Metaheuristic

In this paper, we propose the AVVMC VM consolidation scheme that focuses on balanced resource utilization of servers across different computing resources (CPU, memory, and network I/O) with the goal of minimizing power consumption and resource wastage. Since the VM consolidation problem is strictly...

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Bibliographic Details
Published inEuro-Par 2014 Parallel Processing pp. 306 - 317
Main Authors Ferdaus, Md Hasanul, Murshed, Manzur, Calheiros, Rodrigo N., Buyya, Rajkumar
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing 2014
SeriesLecture Notes in Computer Science
Subjects
Cloud Computing
Cloud Data Center
Virtual Machine
Virtual Machine Instance
Virtual Machine Placement
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ISBN3319098721
9783319098722
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-09873-9_26

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Summary:In this paper, we propose the AVVMC VM consolidation scheme that focuses on balanced resource utilization of servers across different computing resources (CPU, memory, and network I/O) with the goal of minimizing power consumption and resource wastage. Since the VM consolidation problem is strictly NP-hard and computationally infeasible for large data centers, we propose adaptation and integration of the Ant Colony Optimization (ACO) metaheuristic with balanced usage of computing resources based on vector algebra. Our simulation results show that AVVMC outperforms existing methods and achieves improvement in both energy consumption and resource wastage reduction.
ISBN:3319098721
9783319098722
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-09873-9_26