A feedback control approach for energy efficient virtual network embedding

Network virtualization is an enabler for intelligent energy-aware network deployment. The existing research usually searches the subset of resources in the whole substrate network passively for the virtual networks (VNs), where resource consolidation achieves the minimization of energy consumption by switching off or hibernating as many network nodes and interfaces as possible. However, the stable active resources for accommodating the VNs help enhance the number of the hibernated nodes and links, which can reduce the energy consumption. A novel method for energy efficient virtual network embedding (EEVNE) is proposed in this paper, which controls the mappable area of the substrate network actively and can find the minimal consolidation of the network resources. In our proposed method, a controller, a check device and an actuator are designed for finding the stable consolidated subset of the substrate resources. Besides, two feedback-control-based EEVNE algorithms are devised to minimize the energy consumption of the substrate network for embedding VNs. Simulation results show that our algorithms significantly save greater energy than the existing algorithms.

[1]  Raouf Boutaba,et al.  ViNEYard: Virtual Network Embedding Algorithms With Coordinated Node and Link Mapping , 2012, IEEE/ACM Transactions on Networking.

[2]  Xiang Cheng,et al.  Energy-Aware Virtual Network Embedding , 2014, IEEE/ACM Transactions on Networking.

[3]  Haitao Wu,et al.  ServerSwitch: A Programmable and High Performance Platform for Data Center Networks , 2011, NSDI.

[4]  Xiang Cheng,et al.  Energy-aware virtual network embedding through consolidation , 2012, 2012 Proceedings IEEE INFOCOM Workshops.

[5]  Bin Wang,et al.  Reducing power consumption in embedding virtual infrastructures , 2012, 2012 IEEE Globecom Workshops.

[6]  Akihiro Nakao,et al.  GENI: A federated testbed for innovative network experiments , 2014, Comput. Networks.

[7]  Ellen W. Zegura,et al.  How to model an internetwork , 1996, Proceedings of IEEE INFOCOM '96. Conference on Computer Communications.

[8]  Lixin Gao,et al.  Scalable network virtualization using FPGAs , 2010, FPGA '10.

[9]  Wenbo Wang,et al.  Green cloud virtual network provisioning based ant colony optimization , 2013, GECCO.

[10]  Dario Rossi,et al.  A Survey of Green Networking Research , 2010, IEEE Communications Surveys & Tutorials.

[11]  Xavier Hesselbach,et al.  Energy Efficient Virtual Network Embedding , 2012, IEEE Communications Letters.

[12]  Jennifer Rexford,et al.  Scalable Network Virtualization in Software-Defined Networks , 2013, IEEE Internet Computing.

[13]  Gangxiang Shen,et al.  Energy-minimized design for IP over WDM networks under modular router line cards , 2009, 2012 1st IEEE International Conference on Communications in China (ICCC).

[14]  Rajendran Parthiban,et al.  Toward a Power-Efficient Backbone Network: The State of Research , 2015, IEEE Communications Surveys & Tutorials.

[15]  Xiaohua Chen,et al.  Energy efficient virtual network embedding for path splitting , 2014, The 16th Asia-Pacific Network Operations and Management Symposium.

[16]  David G. Andersen,et al.  Theoretical Approaches to Node Assignment , 2002 .

[17]  Xiang Cheng,et al.  Virtual network embedding through topology-aware node ranking , 2011, CCRV.

[18]  Scott Shenker,et al.  Overcoming the Internet impasse through virtualization , 2005, Computer.

[19]  A. Pattavina,et al.  A Power Consumption Analysis for IP-Over-WDM Core Network Architectures , 2012, IEEE/OSA Journal of Optical Communications and Networking.

[20]  Baek-Young Choi,et al.  Topology and migration-aware energy efficient virtual network embedding for green data centers , 2014, 2014 23rd International Conference on Computer Communication and Networks (ICCCN).

[21]  Mohamed Cheriet,et al.  Environment-Aware Virtual Slice Provisioning in Green Cloud Environment , 2015, IEEE Transactions on Services Computing.

[22]  Taisir E. H. El-Gorashi,et al.  Green Virtual Network Embedding in optical OFDM cloud networks , 2014, 2014 16th International Conference on Transparent Optical Networks (ICTON).

[23]  Barath Raghavan,et al.  The energy and emergy of the internet , 2011, HotNets-X.

[24]  Fred Kuhns,et al.  Supercharging planetlab: a high performance, multi-application, overlay network platform , 2007, SIGCOMM 2007.

[25]  Xavier Hesselbach,et al.  Virtual Network Embedding: A Survey , 2013, IEEE Communications Surveys & Tutorials.

[26]  Masayuki Murata,et al.  Virtual network reconfiguration for reducing energy consumption in optical data centers , 2014, IEEE/OSA Journal of Optical Communications and Networking.

[27]  Athanasios V. Vasilakos,et al.  Joint virtual machine assignment and traffic engineering for green data center networks , 2014, PERV.

[28]  Maria Grazia Scutellà,et al.  Does Traffic Consolidation Always Lead to Network Energy Savings? , 2013, IEEE Communications Letters.

[29]  Bruce M. Maggs,et al.  Cutting the electric bill for internet-scale systems , 2009, SIGCOMM '09.

[30]  Stephen J. Wright,et al.  Power Awareness in Network Design and Routing , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[31]  Nick Feamster,et al.  Trellis: a platform for building flexible, fast virtual networks on commodity hardware , 2008, CoNEXT '08.

[32]  Dario Rossi,et al.  Energy-aware routing: A reality check , 2010, 2010 IEEE Globecom Workshops.

[33]  Byrav Ramamurthy,et al.  The GpENI testbed: Network infrastructure, implementation experience, and experimentation , 2014, Comput. Networks.

[34]  Esteban Rodríguez,et al.  Green virtualized networks , 2012, 2012 IEEE International Conference on Communications (ICC).

[35]  Abdelkader H. Ouda,et al.  Resource allocation in a network-based cloud computing environment: design challenges , 2013, IEEE Communications Magazine.

[36]  Xavier Hesselbach,et al.  Greener networking in a network virtualization environment , 2013, Comput. Networks.