Clustering-based energy-aware virtual network embedding

Xu Liu, Zhongbao Zhang, Junning Li and Sen Su

International Journal of Distributed Sensor Networks, 2017, vol. 13, issue 8, 1550147717726714

Abstract: Virtual network embedding has received a lot of attention from researchers. In this problem, it needs to map a sequence of virtual networks onto the physical network. Generally, the virtual networks have topology, node, and link constraints. Prior studies mainly focus on designing a solution to maximize the revenue by accepting more virtual networks while ignoring the energy cost for the physical network. In this article, to bridge this gap, we design a heuristic energy-aware virtual network embedding algorithm called EA-VNE-C, to coordinate the dynamic electricity price and energy consumption to further optimize the energy cost. Extensive simulations demonstrate that this algorithm significantly reduces the energy cost by up to 14% over the state-of-the-art algorithm while maintaining similar revenue.

Keywords: Network virtualization; virtual network embedding; energy; cost; clustering (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:13:y:2017:i:8:p:1550147717726714

DOI: 10.1177/1550147717726714

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