Network-level Green Energy-saving Mechanism for Backbone Networks
Author:
Affiliation:

Fund Project:

National Key Research and Development Program of China (2017YFB0801701); National Natural Science Foundation of China (61872073); LiaoNing Revitalization Talents Program (XLYC1902010)

  • Article
  • | |
  • Metrics
  • |
  • Reference [40]
  • |
  • Related
  • | | |
  • Comments
    Abstract:

    Recently, the world-wide huge energy consumption of Internet has incurred a sustained attention, and energy saving has turned into one of the hot issues in the upcoming future networks in the past few years. A network-level green energy-saving mechanism over the backbone networks is proposed in this study: for one thing, in the global view, a smallest remaining capacity first (SRCF) based green routing algorithm is used to plan the global routing paths in the networks, which makes the number of the bundled links powered minimum and thus realizes the first step of energy saving; for the other, in the local view, a green-best fit deceasing (G-BFD) algorithm is used to gather traffic loads flowing through a bundled link to the smallest set of physical links, which enables the physical links powered off as much as possible and thus implements the further energy saving. In addition to saving energy, the proposed mechanism pays attention to guaranteeing the user's requirements on quality of service (QoS), that is, the mechanism maximizes the benefits of energy saving under the premise of providing QoS guarantee. In order to evaluate the proposed mechanism in the study comprehensively, the topologies of three typical backbone networks, namely CERNET2, GéANT, and INTERNET2, are chosen. Under the different traffic status of high load, medium load, and low load, the proposed mechanism is compared with the other three energy-saving mechanisms with regard to network power consumption and network performance (as for average routing hops, the number of physical links powered off, routing success rate, and running time) and further the differences among them are analyzed fully. The results of simulation indicate that the proposed mechanism has a remarkable energy saving effect and a satisfactory performance.

    Reference
    [1] Idzikowski F, Chiaraviglio L, Cianfrani A, et al. A survey on energy-aware design and operation of core networks. IEEE Communications Surveys & Tutorials, 2016,18(2):1453-1499.
    [2] Zhang GQ, Xu ZQ, Liu Z. Research on green network theory and technology. Ruan Jian Xue Bao/Journal of Software, 2016,27(3):736-759(in Chinese with English abstract). http://www.jos.org.cn/1000-9825/4947.htm[doi:10.13328/j.cnki.jos.004947]
    [3] Shang YF, Xu MW, Li D. Research on energy-saving routing devices and protocols in the Internet. Acta Electronica Sinica, 2012, 40(11):2290-2297(in Chinese with English abstract).
    [4] Yun D, Lee J. Research in green network for future Internet. Journal of KIISE, 2010,28(1):41-51.
    [5] Bianco C, Cucchietti F, Griffa G. Energy consumption trends in the next generation access network-a telco perspective. In:Proc. of the 29th Int'l Telecommunications Energy Conf. (INTELEC 2007). Rome, 2007.737-742.
    [6] World Bank & Int'l Energy Agency. Sustainable Energy for All 2015. World Bank Other Operational Studies 22148.
    [7] Wu HQ. Green ICT impact on energy conservation and emission reduction. China Communications, 2008,5(3):79-84.
    [8] Bianzino AP, Chaudet C, Rossi D, et al. A survey of green networking research. IEEE Communications Surveys & Tutorials, 2012, 14(1):3-20.
    [9] Hinton K, Baliga J, Feng M, et al. Power consumption and energy efficiency in the internet. IEEE Network, 2011,25(2):6-12.
    [10] Wang XW, Qu DP, Huang M, et al. Multiple many-to-many multicast routing scheme in green multi-granularity transport networks. Computer Networks, 2015,93(1):225-242.
    [11] Addis B, Capone A, Carello G, et al. Energy management in communication networks:A journey through modeling and optimization glasses. Computer Communications, 2016,91-92:76-94.
    [12] Ba S, Ouédraogo IA, Oki E. Reducing the power consumption of hose-model networks with bundled links. IET Networks, 2015, 4(2):119-127.
    [13] IEEE Computer Society. IEEE standard 802.1AX-2014:Link aggregation revision. 2014.
    [14] Zhang JH, Wang XW, Huang M, et al. A distributed topology management scheme for energy saving in green Internet. Chinese Journal of Computers, 2017,40(7):1517-1529(in Chinese with English abstract).
    [15] Li Q, Xu MW, Yang Y, et al. Safe and practical energy-efficient detour routing in IP networks. IEEE/ACM Trans. on Networking, 2014,22(6):1925-1937.
    [16] Chiaraviglio L, Mellia M, Neri F. Reducing power consumption in backbone networks. In:Proc. of the 2009 IEEE Int'l Conf. on Communications (ICC 2009). Dresden, 2009.2298-2303.
    [17] Coiro A, Listanti M, Valenti A, et al. Energy-Aware traffic engineering:A routing-based distributed solution for connection-oriented IP networks. Computer Networks, 2013,57(9):2004-2020.
    [18] Lee OY. Improving performance and energy savings through alternative forwarding. ACM SIGMETRICS Performance Evaluation Review, 2011,39(3):110-112.
    [19] Amaldi E, Capone A, Gianoli LG. Energy-Aware IP traffic engineering with shortest path routing. Computer Networks, 2013,57(6):1503-1517.
    [20] Moulierac J, Phan TK. Optimizing IGP link weights for energy-efficiency in multi-period traffic matrices. Computer Communications, 2015,61:79-89.
    [21] Wang XW, Zhang JH, Min H, et al. A green intelligent routing algorithm supporting flexible QoS for many-to-many multicast. Computer Networks, 2017,126:229-245.
    [22] Wei YK, Zhang XN, Xie L, et al. Energy-Aware traffic engineering in hybrid SDN/IP backbone networks. Journal of Communications and Networks, 2016,18(4):559-566.
    [23] Yang Y, Xu MW, Wang D, et al. A hop-by-hop routing mechanism for green Internet. IEEE Trans. on Parallel and Distributed Systems, 2016,27(1):2-16.
    [24] Chen RB, Wang XW, Ma LB, et al. An energy-efficient routing algorithm in green networks. Chinese Journal of Computers, 2018, 41(11):2612-2623(in Chinese with English abstract).
    [25] Fisher W, Suchara M, Rexford J. Greening backbone networks:Reducing energy consumption by shutting off cables in bundled links. In:Proc. of the Green Networking Workshop in SIGCOMM. 2010.
    [26] Bonetto E, Chiaraviglio L, Idzikowski F, et al. Algorithms for the multi-period power-aware logical topology design with reconfiguration costs. IEEE/OSA Journal of Optical Communications and Networking, 2013,5(5):394-410.
    [27] Lin GQ, Soh S, Chin KW. Energy-Aware traffic engineering with reliability constraint. Computer Communications, 2015,57:115-128.
    [28] Doverspike RD, Ramakrishnan KK, Chase C. Structural overview of ISP networks. In:Proc. of the Guide to Reliable Internet Services and Applications. London:Springer-Verlag, 2010.19-93.
    [29] Lin GQ, Soh S, Chin KW, et al. Efficient heuristics for energy-aware routing in networks with bundled links. Computer Networks, 2013,57(8):1774-1788.
    [30] An architecture for differentiated services. Internet RFC2475, 1998.
    [31] Internet protocol data communication service-IP packet transfer and availability performance parameters. ITU-T Y.1540, 2002.
    [32] Network performance objectives for IP-based services. ITU-T Y.1541, 2011.
    [33] Narvaez P, Siu KY, Tzeng HY. New dynamic algorithms for shortest path tree computation. IEEE/ACM Trans. on Networking, 2000,8(6):734-746.
    [34] Lin GQ, Soh S, Chin KW, et al. Power-Aware routing in networks with quality of services constraints. Trans. on Emerging Telecommunications Technologies, 2016,27:122-135.
    [35] Orlowski S, Wessäly R, Pióro M, et al. SNDlib 1.0-survivable network design library. Networks, 2010,55(3):276-286.
    附中文参考文献:
    [2] 张国强,许自取,刘真.绿色网络理论与技术研究.软件学报,2016,27(3):736-759. http://www.jos.org.cn/1000-9825/4947.htm[doi:10.13328/j.cnki.jos.004947]
    [3] 商云飞,徐明伟,李丹.互联网路由设备与协议节能研究综述.电子学报,2012,40(11):2290-2297.
    [14] 张金宏,王兴伟,黄敏,等.绿色互联网中面向节能的分布式拓扑管理机制.计算机学报,2017,40(7):1517-1529.
    [24] 陈若宾,王兴伟,马连博,等.绿色主干网络中一种高效的节能路由算法.计算机学报,2018,41(11):2612-2623.
    Related
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation

张金宏,王兴伟,易波,黄敏.面向主干网的网络级绿色节能机制.软件学报,2020,31(9):2926-2943

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:August 19,2019
  • Revised:November 08,2019
  • Online: April 21,2020
  • Published: September 06,2020
You are the first2037979Visitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-4
Address:4# South Fourth Street, Zhong Guan Cun, Beijing 100190,Postal Code:100190
Phone:010-62562563 Fax:010-62562533 Email:jos@iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063