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Improved survivability analysis for SONET SHRs

机译:改进了SONET SHR的生存能力分析

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Recently, a special type of Markov model called parametric state reward Markov model (SRMM/p) [H.C. Cankaya, V.S.S. Nair, in f IEEE Proceedings of GLOBECOM 97, vol. 1, IEEE Computer Soc. Press, Silver Spring, MD, l997, pp. 252--256] and a set of survivability metrics comprising reliability, availability, and restorability have been proposed for the evaluation of self healing SONET mesh networks IH.C. Cankaya, V.S.S, Nair, in f Proceedings of ISCIS 'XII, vol. 1, Bogazici University, Bogazici University Press, 1997, pp. 269--276]. The SRMM/p accommodates multiple consecutive link failures and uses topology-free approximation in order to calculate the average performance loss due to a failure. The SRMM/p is equally applicable to the analysis of self-healing SONET rings by considering a ring as a special case of a mesh topology [H.C. Cankaya, V.S.S. Nair, in f IEEE Proceedings of GLOBECOM '98, vol. 4, IEEE Computer Soc. Press, Silver Spring, MD, 1998, pp. 2276--2281]. Further, the topological uniformity and simplicity of rings allow one to include more detailed features of the network in the model so that the analysis will be more accurate. For this purpose, we propose an improved approach to the survivability analysis of self healing SONET rings which employs a probability- tree based evaluation of the probability of various system states resulting from all possible combinations of node and link failures. The corresponding tree-construction and traversal algorithms are presented. Survivability of rings with dis- tinctive demand patterns are studied with the improved analysis and compared experimentally. One limitation to the model is the high run-time complexity caused mainly by the disparity between transition rates amongst various states in the SRMM/p [H.C. Cankaya, V.S.S. Nair, ACM Comput. Commun. Rev. 28 (4) (l998) 268--277]. In this paper, we also present an approach to circumvent this problem by state aggregation method and compare the results in terms of run- time complexity and accuracy by conducting an experimental study. @ l999 E1sevier Science B.V. All rights reserved.
机译:最近,一种特殊的马尔可夫模型称为参数状态奖励马尔可夫模型(SRMM / p)[H.C.堪卡亚(V.S.S.) Nair,在《 GLOBECOM 97的IEEE程序》中,第1卷。 1,IEEE计算机学会。已经提出了Press,Silver Spring,MD,1997,pp。252--256]和一组包括可靠性,可用性和可恢复性的生存性度量标准,用于评估自愈SONET网状网络IH.C。 Cankaya,V.S.S,Nair,在ISCIS'XII'的议事记录,第1,博加齐奇大学,博加齐奇大学出版社,1997年,第269--276页]。 SRMM / p可容纳多个连续的链路故障,并使用无拓扑的近似值来计算由于故障导致的平均性能损失。通过将环视为网状拓扑的特殊情况,SRMM / p同样适用于自修复SONET环的分析。堪卡亚(V.S.S.) Nair,在《 GLOBECOM '98的IEEE会议录》,第1卷。 4,IEEE计算机学会。 Press,Silver Spring,MD,1998,第2276--2281页。此外,环的拓扑均匀性和简单性使人们可以在模型中包括网络的更多详细特征,从而使分析更加准确。为此,我们提出了一种自我修复SONET环的生存能力分析的改进方法,该方法对节点和链路故障的所有可能组合所导致的各种系统状态的概率进行了基于概率树的评估。给出了相应的树结构和遍历算法。通过改进的分析研究了具有不同需求模式的环的生存能力,并进行了实验比较。该模型的一个局限性是运行时复杂度高,这主要是由于SRMM / p [H.C. V.S.S.坎卡亚Nair,ACM计算。公社Rev.28(4)(l998)268--277]。在本文中,我们还提出了一种通过状态聚集方法规避此问题的方法,并通过进行实验研究,比较了运行时复杂度和准确性方面的结果。 @ l999 E1sevier Science B.V.保留所有权利。

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