4.7 Article

Energy-efficient virtual topology design in IP over WDM mesh networks

Journal

COMPUTER NETWORKS
Volume 112, Issue -, Pages 223-236

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.comnet.2016.11.016

Keywords

IP over WDM; Energy efficiency; Virtual topology; Survivability

Funding

  1. China's 973 Program [2013CB329103]
  2. NSFC Fund [61271165, 61301153]
  3. Program. for Changjiang Scholars and Innovative Research Team in University (PCSIRT)
  4. 111 Project [B14039]
  5. Shanghai Oriental Scholar Program, Science and Technology Program of Sichuan Province [2016GZ0138, 2016GZ0107]
  6. National Natural Science Foundation of China (NSFC) [61671124]

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Energy efficiency has been well recognized as an important objective in design of IP over WDM mesh networks. While previous works always focus on energy minimization through green routing and resource provisioning, the comprehensive performances of the two-layer network cannot be guaranteed. This would be not good for realization of energy-efficient networking methods. In this paper, we first study the problem of getting a good tradeoff between the three-part network comprehensive performances: energy efficiency, resource efficiency and cross-layer survivability efficiency for IP over WDM mesh networks under the static traffic demand. We present the virtual-link energy model for two-layer networks. The energy model is computed from the power consumption value of commercial network devices. Based on the energy-aware two-layer auxiliary graph, we propose a new Energy-Efficient Virtual Topology Design ((EVTD)-V-2) scheme. The novelty of our proposed (EVTD)-V-2 scheme is mainly twofold as following: the first is the energy-efficient virtual link direct mapping and rerouting and the second is the cross-layer survivability improvement for energy-efficient virtual topology. We use extensive simulations to demonstrate the efficiency of our proposed (EVTD)-V-2 scheme. It is shown that the network comprehensive performances are significantly improved for two-layer networks. Compared with the previous algorithms, network energy consumption is reduced by about 39.8%, network resource is reduced by about 28.2%, and cross-layer topology survivability can be enhanced by about 35.7% in average. (C) 2016 Elsevier B.V. All rights reserved.

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