期刊文献+

一种基于QoS度量的Pareto并行路由寻优方法 被引量:8

A Parallel QoS Routing Optimization Based on Pareto Subsets
下载PDF
导出
摘要 动态QoS路由是基于每个流计算的,为了优化动态QoSR请求中状态的时变性和控制滞后性,快速寻找满足多个约束的可行路径,提出一种基于QoS度量的Pareto子集并行路由预计算方法(QPAS).方法实现了并行状态收集和路由计算,求得满足路由请求约束可行路径的Pareto子集并综合选择合适的转发路由,仿真结果验证了QPAS的计算效率和有效性.QPAS可用于解决有限节点网络的复杂QoS路由等网络传输控制中的实际问题. The QoS routing is based on the computing of each flow. In order to optimize the volatile status messages and hysteresis quality of the dynamic routing request, a method (QPAS) for parallel routing optimization based on Pareto of QoS Metrics is proposed to find the feasible path quickly and inerrably. Parallel routing precomputing is used to obtain the Pareto subsets which satisfy the multiple routing request constraints, and a proper route is selected from these subsets synthetically. QPAS is proved to be valid and effective by simulated experiments, with its parallelized status collection and parallelized routing searching. QPAS can be used to solve the complex QoS routing problems and other actual information transmission cases in the finite-node networks.
出处 《计算机学报》 EI CSCD 北大核心 2009年第3期463-472,共10页 Chinese Journal of Computers
基金 国家自然科学基金(60433020 10471045 60673023) 广东省自然科学基金(970472 000463 04020079 05011896) 广东省教育厅自然科学研究项目(Z03080)资助~~
关键词 并行路由算法 QOS度量 Pareto子集 多约束 复杂度 parallel routing algorithm QoS Metrics Pareto subsets multi-constraints algorithm complexity
  • 相关文献

参考文献12

  • 1冯径,马小骏,顾冠群.适应QoS路由机制的网络模型研究[J].计算机学报,2000,23(8):799-805. 被引量:30
  • 2崔逊学,林闯.一种带约束的多目标服务质量路由算法[J].计算机研究与发展,2004,41(8):1368-1375. 被引量:13
  • 3崔勇,吴建平,徐恪,徐明伟.互联网络服务质量路由算法研究综述[J].软件学报,2002,13(11):2065-2075. 被引量:73
  • 4Braden B, Clark R, Shenker S. Integrated services in the internet architecture: An overview. RFC 1633, July, 1994.
  • 5Shaikh A, Rexford J, Shin K G. Evaluating the impact of stale link state on quality-of-service routing. IEEE/ACM Transactions on Networking, 2001, 9(2): 162-176.
  • 6Avadora Dumitrescu. Dynamic widest path selection for connection admission control in core-stateless networks//Proceedings of the 1st International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks. Dallas, Texas, 2004: 102-111.
  • 7崔逊学,林闯.基于多目标遗传算法的多播服务质量路由优化[J].计算机研究与发展,2004,41(7):1144-1150. 被引量:15
  • 8Van Mieghem P, Kuipers F A. Concepts of exact QoS routing algorithms. IEEE/ACM Transactions on Networking, 2004, 12(5): 851-864.
  • 9Pitsillides A, Stylianou G. Bandwidth allocation for virtual paths (BAVP), investigation of performance of classical constrained and genetic algorithm base optimization techniques//Proceedings of the 19th Annual Joint Conference of the IEEE Computer and Communications Societies. Tel Aviv, Israel, 2000:1379-1387.
  • 10Waxman Bernard M. Routing of multipoint connections. IEEE Journal on Selected Areas in Communications, 1988, 6(9) : 1617-1622.

二级参考文献80

  • 1S Chen, K Nahrstedt. An overview of quality-of-service routing for next-generation high-speed networks: Problems and solutions.IEEE Network, 1998, 12(6): 64~79
  • 2F Kuipers, P Van Mieghen, T Korkmaz, et al. An overview of constraint-based path selection algorithms for QoS routing. IEEE Communications Magazine, 2002, 40(12): 50~55
  • 3M R Garey, D S Johnson. Computers and Intractability: A Guide to the Theory of NP-Completeness. New York: W H Freeman and Company, 1979
  • 4马振华.现代应用数学手册--运筹学与最优化理论卷.北京:清华大学出版社,1998(Ma Zhenhua. Modern Applying Mathermatics ManualOperational Research and Optimization Theory (in Chinese) .Beijng: Tsinghua University Press, 1998)
  • 5A Juttner, B Szviatovszki, I Mecs, et al. Lagrange relaxation based method for the QoS routing problem. INFOCOM 2001,Alaska, USA, 2001
  • 6Z Wang, J Crowcroft. Quality-of-service routing for supporting multimedia applications. IEEE Journal on Selected Areas in Communications, 1996, 14(7): 1228~1234
  • 7M I Henig. The shortest path problem with two objective functions. European Journal of Operational Research, 1985, 25(2): 281~291
  • 8P Van Meghem, H De Neve, F A Kuipers. Hop-by-hop quality of service routing. Computer Networks, 2001, 37(3-4): 407~423
  • 9R Tapabrata. Constrained robust optimal design using a multiobjective evolutionary algorithm. In: Proc of Congress on Evolutionary Computation. New York: IEEE Computer Society Press, 2002. 419~424
  • 10D A Van Veldhuizen, G B Lamont. Evolutionary computation and convergence to a Pareto front. In: John R Koza ed. Late Breaking Papers at the Genetic Programming 1998 Conference. San Mateo,CA: Morgan Kaufmann Publishers, 1998. 221~228

共引文献140

同被引文献69

引证文献8

二级引证文献28

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部