Virtual machine consolidation in cloud data centers using ACO metaheuristic

158Citations
Citations of this article
103Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

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. © 2014 Springer International Publishing Switzerland.

Cite

CITATION STYLE

APA

Ferdaus, M. H., Murshed, M., Calheiros, R. N., & Buyya, R. (2014). Virtual machine consolidation in cloud data centers using ACO metaheuristic. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8632 LNCS, pp. 306–317). Springer Verlag. https://doi.org/10.1007/978-3-319-09873-9_26

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free