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DOI: 10.14569/IJACSA.2015.060405
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Memetic Multi-Objective Particle Swarm Optimization-Based Energy-Aware Virtual Network Embedding

Author 1: Ashraf A. Shahin

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 4, 2015.

  • Abstract and Keywords
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Abstract: In cloud infrastructure, accommodating multiple virtual networks on a single physical network reduces power consumed by physical resources and minimizes cost of operating cloud data centers. However, mapping multiple virtual network resources to physical network components, called virtual network embedding (VNE), is known to be NP-hard. With considering energy efficiency, the problem becomes more complicated. In this paper, we model energy-aware virtual network embedding, devise metrics for evaluating performance of energy aware virtual network-embedding algorithms, and propose an energy aware virtual network-embedding algorithm based on multi-objective particle swarm optimization augmented with local search to speed up convergence of the proposed algorithm and improve solutions quality. Performance of the proposed algorithm is evaluated and compared with existing algorithms using extensive simulations, which show that the proposed algorithm improves virtual network embedding by increasing revenue and decreasing energy consumption.

Keywords: energy-efficient resource management; green computing; virtual network embedding; cloud computing; resource allocation; substrate network fragmentation

Ashraf A. Shahin, “Memetic Multi-Objective Particle Swarm Optimization-Based Energy-Aware Virtual Network Embedding” International Journal of Advanced Computer Science and Applications(IJACSA), 6(4), 2015. http://dx.doi.org/10.14569/IJACSA.2015.060405

@article{Shahin2015,
title = {Memetic Multi-Objective Particle Swarm Optimization-Based Energy-Aware Virtual Network Embedding},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.060405},
url = {http://dx.doi.org/10.14569/IJACSA.2015.060405},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {4},
author = {Ashraf A. Shahin}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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