QoS-guaranteed energy saving routing strategy using SDN central control for backbone networks

被引：5

作者：

Hongyu, Peng ^{[1
,2
]}

Weidong, Wang ^{[1
,2
]}

Chaowei, Wang ^{[1
,2
]}

Gang, Chen ^{[1
,2
]}

Yinghai, Zhang ^{[1
,2
]}

机构：

[1] College of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing

[2] Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing

来源：

Journal of China Universities of Posts and Telecommunications | 2015年 / 22卷 / 05期

关键词：

Backbone; Energy efficient networks; Open shorted path first (OSPF); Software defined network (SDN);

D O I：

10.1016/S1005-8885(15)60686-0

中图分类号：

学科分类号：

摘要：

This paper targets on energy saving and considers network responding time for backbone networks. The objective is to find idle links as many as possible which can be put into sleep mode under the situation of quality of service (QoS)-guaranteed. This paper proposes a software defined network (SDN) based routing strategy which is especially aimed at QoS-guaranteed energy saving for backbone networks. Under SDN structure, the topology change of network can be detected directly by network controller. And network can be managed more easily and effectively. Based on the open shortest path first (OSPF) protocol, network topology can be changed as little as possible in our strategy. So, the network reconfiguring time caused by the energy saving strategy will be decreased dramatically. This makes the strategy more feasible. Then the backbone network energy optimizing problem is transformed to the maximum clique problem (MCP). And, this paper designed a routing strategy called backbone networks energy saving strategy (BNESS) for energy saving in backbone networks. Simulation result shows that our proposed strategy can save energy and QoS can be guaranteed. © 2015 The Journal of China Universities of Posts and Telecommunications.

引用

页码：92 / 100

页数：8

共 11 条

[1]

Addis B., Capone A., Carello G., Et al., Energy management through optimized routing and device powering for greener communication networks, IEEE/ACM Transactions on Networking, 22, 1, pp. 313-325, (2014)

[2]

Tuncer D., Charalambides M., Clayman S., Et al., Adaptive resource management and control in software defined networks, IEEE Transactions on Network and Service Management, 12, 1, pp. 18-33, (2015)

[3]

Lantz B., Heller B., McKeown N., A Network in A Laptop: Rapid Prototyping for Software-defined Networks. Proceedings of the 9th ACM SIGCOMM Workshop on Hot Topics in Networks (HotNets'10), Oct 20-21, 2010, Monterey, CA, USA, (2010)

[4]

Cianfrani A., Eramo V., Listanti M., Et al., An OSPF - Integrated routing strategy for QoS-aware energy saving in IP backbone networks, IEEE Transactions on Network and Service Management, 9, 3, pp. 254-267, (2012)

[5]

Bolla R., Bruschi R., Davoli F., Et al., Energy-aware Performance Optimization for Next-generation Green Network Equipment. Proceedings of the 2nd ACM SIGCOMM Workshop on Programmable Routers for Extensible Services of Tomorrow (PRESTO'09), Aug 21, 2009, Barcelona, Spain, pp. 49-54, (2009)

[6]

Chiaraviglio L., Mellia M., Neri F., Reducing Power Consumption in Backbone Networks. Proceedings of the 2009 International Conference on Communications (ICC'09), Jun 14-18, 2009, Dresden, Germany, (2009)

[7]

Lee S.S.W., Tseng P.K., Chenc A., Link weight assignment and loop-free routing table update for link state routing protocols in energy-aware Internet, Future Generation Computer Systems, 28, 2, pp. 437-445, (2012)

[8]

Amaldi E., Capone A., Gianoli L.G., Et al., Energy Management in IP Traffic Engineering with Shortest Path Routing. Proceedings of the 2011 IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM'11), Jun 20-24, 2011, Lucca, Italy, (2011)

[9]

Ho K.H., Cheung C.C., Green Distributed Routing Protocol for Sleep Coordination in Wired Core Networks. Proceedings of the 6th International Conference on Networked Computing (INC'10), May 11-13, 2010, Gyeongju, Republic of Korea, (2010)

[10]

Pardalos P., Xue J., The maximum clique problem, Journal of Global Optimization, 4, 3, pp. 301-328, (1994)

← 1 2 →