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基于约束路由的绿色虚拟拓扑设计算法 被引量:1

Green virtual topology design algorithm based on constraint-based routing
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摘要 针对Internet核心网日益严重的能耗问题,建立了绿色虚拟拓扑设计(GVTD)问题的形式化模型,通过业务汇聚、按需配置网络资源、动态虚拟拓扑设计和多粒度睡眠机制降低网络能耗。提出了一种基于约束路由的启发式算法--CBR-GVTD算法,利用单跳路由和多跳路由相结合的方法构建网络虚拟拓扑,并通过基于约束的路由实现网络功耗与路由性能的折衷。模拟结果表明,CBR-GVTD算法可在接口平均利用率为80%~90%和最大路由跳数不超过5的条件下,最多可降低62%~90%的网络功耗。 To reduce the energy consumption of Internet core network, a formulation model for green virtual topology design (GVTD) problem was developed, which employs the following measures:traffic aggregation, network resources allocation on demand, virtual topology design dynamically and multi-granularity sleeping. A heuristic algorithm base on constraint-based routing, namely CBR-GVTD, was proposed, which combines the single-hop and multi-hop routing to establish virtual topology, and makes trade-offs between the network power consumption and routing performance via the constraint-based routing mechanism. The simulation results indicate that CBR-GVTD can achieve at most 62%~90%power saving with very high resource utilization (80%~90%for interface utilization) and excellent routing performance (not more than 5 for maximum routing hops).
出处 《通信学报》 EI CSCD 北大核心 2014年第4期112-123,共12页 Journal on Communications
基金 国家自然科学基金资助项目(61332001 61272104 61073045) 四川省杰出青年基金资助项目(2010JQ0011) 中国科学院计算技术研究所计算机体系结构国家重点实验室开放课题基金资助项目(ICT-ARCH201003)~~
关键词 绿色网络 基于约束的路由 虚拟拓扑设计 多粒度睡眠 核心网能耗 green networking constraint-based routing virtual topology design multi-granularity sleeping energy con-sumption of core network
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  • 1TelegeograiAy[EB/OL].htq)://www.telegeography.com/product-info/gig/index.php,2012.
  • 2BALIGA J,HINTON K,TUCKER K R S.Energy consumption of theintemet[A].Proc of COIN-ACOFT[C].Melbourne,AU,2007.1-3.
  • 3YUN D,LEE J.Research in green network for future Intemet[J].Journal ofKIISE,2010,28(1):41-51.
  • 4LANGE C.Energy-related aspects in backbone networks[A].Pro-ceedings of 35th European Conference on Optical Communication(ECOC2009)[C].Wien,AU,2009.1-8.
  • 5林闯,田源,姚敏.绿色网络和绿色评价:节能机制、模型和评价[J].计算机学报,2011,34(4):593-612. 被引量:150
  • 6HLAVACS H,COSTA G D,PIERSON J.Energy consumption of resi-dential and professional switches[A].Int Conf on Computational Scienceand Engineering(CSE’09)[C].Vancouver,Canada,2009.240-246.
  • 7MELLAH H,SANSO B.Review of facts,data and proposals for agreener intemet[A].Proc of Sixth International Conference on Broad-band Communications,Networks,and SystemsfC].Madrid,Spain,2009.1-5.
  • 8BARROSO L A,HOLZLE U.The case for energy-proportional com-puting[J].Computer,2007,40(12):33-37.
  • 9CHABAREK J,SOMMERS J,BARFORD P,et al.Power awarenessin network design and routing[A].Proc of the 27th IEEE Conferenceon Computer Communications(INFOCOM'08)[C].Phoenix,AZ,USA,2008.457-465.
  • 10ZHANG M,YI C,LIU B,et al.GreenTE:power-aware traffic engi-neering[A].IEEE Int Conference on Network Protocols(ICNP)[C].Kyoto,Japan,2010.21-30.

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共引文献149

同被引文献14

  • 1Hasan Z,Boostanimehr H,Bhargava V K.GreenCellular Networks:A Survey,Some Research Issues and Challenges[J].IEEE Communications Surveys&Tutorials,2011,13(4):524-540.
  • 2Hakola S,Chen Tao,Lehtomaki J,et al.Device-toDevice(D2D)Communication in Cellular Networkperformance Analysis of Optimum and Practical Communication Mode Selection[C]//Proceedings of2010IEEE Wireless Communications and Networking Conference.Sydney,Australia:IEEE Press,2010:1-6.
  • 3Jung M,Hwang K,Choi S.JointMode Selection and Power Allocation Scheme for Power-efficient Deviceto-Device(D2D)Communication[C]//Proceedings of the 75th IEEE Vehicular Technology Conference.Yokohama,Japan:IEEE Press,2012:1-5.
  • 4Xiang Shangwen,Peng Tao,Liu Ziyang,et al.A Distancedependent Mode Selection Algorithm in Heterogeneous D2D and IMT-Advanced Network[C]//Proceedings of2012IEEE Globecom Workshops.Anaheim,USA:IEEE Press,2012:416-420.
  • 5Akkarajitsakul K,Phunchongharn P,Hossain E,et al.Mode Selection for Energy-efficient D2D Communications in LTE-advanced Networks:A Coalitional Game Approach[C]//Proceedings of 2012 IEEE International Conference on Communication Systems.Singapore:IEEE Press,2012:488-492.
  • 6Chien C P,Chen Y C,Hsieh H Y.Exploiting Spatial Reuse Gain Through Joint Mode Selection and Resource Allocation for Underlay Device-to-device Communica-tions[C]//Proceedings of the 15th International Sympo-sium on Wireless Personal Multimedia Communi-cations.Orlando,USA:IEEE Press,2012:80-84.
  • 7Han Minhong,Kim B G,Lee J W.Subchannel and Transmission Mode Scheduling for D2D Communication in OFDMA Networks[C]//Proceedings of 2012 IEEE Vehicular Technology Conference.Quebec City,Canada:IEEE Press,2012:1-5.
  • 8Liu Ziyang,Peng Tao,Xiang Shangwen,et al.Mode Selection for Device-to-Device(D2D)Communication Under LTE-advanced Networks[C]//Proceedings of2012IEEE International Conference on Communications.Ottawa,Canada:IEEE Press,2012:5563-5567.
  • 9Yu C H,Doppler K,Ribeiro C B,et al.Resource Sharing Optimization for Device-to-Device Communication Underlaying Cellular Networks[J].IEEE Transac-tions on Wireless Communications,2011,10(8):2752-2763.
  • 10Yang Fengming,Chen Weiwei,Wu J L C.A Dynamic Strategy for Packet Scheduling and Bandwidth Allocation Based on Channel Quality in IEEE 802.16e OFDMA System[J].Journal of Network and Computer Applica-tions,2014,39(11):52-60.

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