数据中心网络结构鲁棒性指标研究

doi:10.3969/j.issn.1006-2475.2016.05.010

计算机与现代化

数据中心网络结构鲁棒性指标研究

湘潭医卫职业技术学院，湖南湘潭411102

收稿日期:2015-11-10 出版日期:2016-05-24 发布日期:2016-05-25
作者简介:张婵（1979-），女，湖南湘潭人，湘潭医卫职业技术学院讲师，硕士，研究方向：计算机网络；冯国军（1965-），男，高级工程师，研究方向：软件开发，计算机网络；肖云波（1981-），女，讲师，研究方向：网络安全。

Study on Indices of DCN Structural Robustness

Xiangtan Medicine & Health Vocational College, Xiangtan 411102, China

Received:2015-11-10 Online:2016-05-24 Published:2016-05-25

摘要/Abstract

摘要：

近年来，随着云计算和数据密集型计算技术的飞速发展，数据中心网络（DCN）作为底层基础设施发挥着越来越重要的作用。DCN需要在面对故障和不确定性因素时具备良好的鲁棒性，以提供所需

的服务质量（QoS）水平和满足服务水平协议（SLA）。本文研究经典的鲁棒性指标，对各种故障情况进行比较分析，指出采用经典网络鲁棒性指标评价DCN的鲁棒性的不足，提出新的评价指标来量化DCN

的鲁棒性。在缺乏详细的研究可定性DCN的鲁棒性的情况下，本研究将为DCN的鲁棒性研究提供一定的参考价值。

关键词: 数据中心网络, 结构鲁棒性, 网络分析

Abstract:

In recent years, with the rapid development of cloud computing and dataintensive super computing(DISC), data center network(DCN) is playing an increasingly important

roles as the underlying infrastructure. The DCN needs to be robust to failures and uncertainties to deliver the required qualityofservice (QoS) level and satisfy service

level agreement (SLA). In the paper we study the classical robustness metrics and perform a comparative analysis on considering various failure scenarios, present the inadequacy

of the classical network robustness metrics to appropriately evaluate the DCN robustness, and propose some new metrics to quantify the DCN robustness. For the detailed study is

unavailable for centering the DCN robustness, our study will lay a firm foundation for the future DCN robustness research.

Key words: data center network, structural robustness, network analysis

中图分类号:

TP393

张婵，冯国军，肖云波. 数据中心网络结构鲁棒性指标研究[J]. 计算机与现代化, doi: 10.3969/j.issn.1006-2475.2016.05.010.

ZHANG Chan， FENG Guojun， XIAO Yunbo. Study on Indices of DCN Structural Robustness[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2016.05.010.

参考文献［21］

［1］	张婵，冯国军，肖云波. 数据中心网络结构鲁棒性指标及研究［J］. 现代计算机（专业版）, 2015（29）：30-35.
［2］	Cisco. Cisco Data Center Infrastructure 2.5 Design Guide［DB/OL］.
	http://www.cisco.com/c/en/us/td/docs/solutions/Enterprise/Data_Center/DC_Infra2_5/DCI_SRND_2_5a_book.html, 2015-11-10.
［3］	AlFares M, Loukissas A, Vahdat A. A scalable, commodity data center network architecture［J］. ACM SIGCOMM Computer Comm. Rev., 2008,38(4):63-74.
［4］	Guo Chuanxiong, Wu Haitao, Tan Kun,et al. DCell: A scalable and faulttolerant network structure for data centers［J］. ACM SIGCOMM Computer Comm. Rev., 2008,38(4):75-86.
	
［5］	Mahadevan P, Krioukov D, Fomenkov M, et al. The Internet ASLevel topology: Three data sources and one definitive metric［J］. ACM SIGCOMM Computer Comm. Rev., 2006,36
(1)	:17-26.
［6］	Chakrabarti D, Wang Yang, Wang Chenxi, et al. Epidemic thresholds in real networks［J］. ACM Trans. Information and System Security, 2008,10(4):1-26.
［7］	Freeman L C. A set of measures of centrality based upon betweenness［J］. Sociometry, 1977,40(1):35-41.
［8］	Jamakovic A, Uhlig S. Influence of the network structure on robustness［C］// Proc. 15th IEEE Int’l Conf. Networks (ICON ’07). 2007:278-283.
［9］	Dekker A H, Colbert B D. The symmetry ratio of a network［C］// Proc. Australasian Symp. Theory of Computing. 2005:13-20.
［10］	Broder A, Kumar R, Maghoul F, et al. Graph structure in the Web［J］.Computer Networks, 2000,33(16):309-320.
［11］	Callaway D, Newman M, Strogatz S, et al. Network robustness and fragility: Percolation on random graphs［J］. Physical Rev. Letters, 2000,85:5468.
［12］	Cohen R, Erez K, Avraham ben D, et al. Resilience of the Internet to random breakdowns［J］. Physical Rev. Letters, 2000,85:4626.
［13］	Manzano M, Calle E, Harle D. Quantitative and qualitative network robustness analysis under different multiple failure scenarios［C］// Proc. Third Int’l Workshop
	Reliable Networks Design and Modeling (RNDM ’11). 2011:1-7.
［14］	Neumayer S, Modiano E. Network reliability with geographically correlated failures［C］// Proc. 2010 Conference on Information Communications. 2010:16581666.
［15］	Mieghem P V, Doerr C, Wang Huijuan, et al. A Framework for Computing Topological Network Robustness［DB/OL］.
	https://www.nas.ewi.tudelft.nl/people/Piet/papers/RobustnessRmodel_TUDreport20101218.pdf, 2015-11-10.
［16］	Youssef M, Kooij R, Scoglio C. Viral conductance: Quantifying the robustness of networks with respect to spread of epidemics［J］. J. Computer Science, 2011,2(3):286
	298.
［17］	Manzano M， Bilal K， Calle E， et al. On the connectivity of data center networks［J］. Communications Letters IEEE, 2013,17(11):2172-2175.
［18］	Rawiya Kameir.O2 Outage Latest in String of Major IT Infrastructure Failures［DB/OL］. http://www.itproportal.com/2012/07/12/o2outagelateststringmajorit
	infrastructurefailures/, 2012-12-07.
［19］	Gill P, Jain N, Nagappan N. Understanding network failures in data centers: Measurement analysis, and implications［C］// Proc. ACM SIGCOMM, 2011:350-361.
［20］	Manzano M, TorresPadrosa V, Calle E. Vulnerability of core networks under different epidemic attacks［C］// Proc. 4th Int’l Workshop Reliable Networks Design and
	Modeling. 2012:820-826.
［21］	南洋，陈琳. 基于客观权重确定的数据中心网络性能评估方法［J］. 计算机应用， 2015，35(11):3055-3058,3091.

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Study on Indices of DCN Structural Robustness

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