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Clustering-based energy-aware virtual network embedding

Author

Listed:
  • Xu Liu
  • Zhongbao Zhang
  • Junning Li
  • Sen Su

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.

Suggested Citation

  • Xu Liu & Zhongbao Zhang & Junning Li & Sen Su, 2017. "Clustering-based energy-aware virtual network embedding," International Journal of Distributed Sensor Networks, , vol. 13(8), pages 15501477177, August.
    • Handle: RePEc:sae:intdis:v:13:y:2017:i:8:p:1550147717726714
    DOI: 10.1177/1550147717726714
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