期刊文献+

一种粒子群优化的多路径路由负载均衡算法 被引量:4

PSO-based Load Balance Algorithm Over Multipath Network
下载PDF
导出
摘要 多路径路由的一个重要问题是如何有效地均衡网络负载.针对丢包率比较敏感的应用需求,本文利用最优化理论研究了在多路径环境下的负载均衡问题.均衡算法首先利用路径QoS指标预测每条路径的丢包率,然后将多路径负载均衡问题转化为最优化问题,在此基础上,利用粒子群优化算法(particle swarm optimization algorithm,PSO)动态求解调整每个路径的转发比例,并分析了影响转发比例的因素.通过理论分析及仿真实验表明,该算法能有效地降低网络丢包率,提高网络性能. How to balance the load is one of the most important problems in multipath routing.To loss rate-sensitive Internet traffic,this paper provides a protocol with optimization theory.The algorithm predicts the packet loss rate of each and every link through the characteristics of multipath network first,then it converts a load balancing problem into optimization problem.Based on the above,the particle swarm optimization algorithm(PSO) is introduced into the problem to adjusting distribution ratio of traffic flow through every path,and the reason of decision to how many packets are transferred by some path is given.The results demonstrate that the proposed lgorithm can performs well on QOS,such as packet loss rate.
出处 《小型微型计算机系统》 CSCD 北大核心 2010年第9期1707-1711,共5页 Journal of Chinese Computer Systems
基金 国家自然科学基金项目(60874108)资助 河北省科技厅博士基金项目(554701303)资助
关键词 路由 多路径 负载均衡 预测 优化 routing multipath data plane prediction optimization theory
  • 相关文献

参考文献13

  • 1He J, Chiang M, Rexford J. Towards internet-wide mulripath rouring[ J]. IEEE Network Magazine, Special Issue on Interact Sealability, 2008,22(2) : 16-21.
  • 2GENI: global environment for network innovations[ EB/OL]. http://www. geni. net/,2007.
  • 3Claim B, Culler D, Roscoe T. PlanetLab: an overlay testbest for broad-coverage services [ J ]. SIGCOMM Comput. Commun.Rev. ,2003,33(3) :1-12.
  • 4Feamster N, Gao L, Rexford J. How to lease the Internet in your spare time [ J ]. SIGCOMM Comput. Commun. Rev, 2007,37 (1) :61-64.
  • 5Andreolini M, Casolari S. Load prediction models in Web-based systems[ C]. Proceedings of the 1st International Conference on Performance Evaluation Methodologies and Tools, October ,2006.
  • 6Mariyam Mirza, Joel Sommers, Paul Barford, et al. A machine learning approach to TCP throughput prediction[ C]. In ACM Sigmetrics, San Diego, California, USA, 2007.
  • 7Rossi P S ,Romano G,Palmieri F, et al. Joint end-to-end loss-delay hidden markov model for periodic UDP traffic over the internet [J]. IEEE Transaction on Signal Process, 2006, 54(2): 530- 541.
  • 8Atiya A F, Coo Yoo S. Packet loss rate prediction using the sparse basis prediction model [J]. IEEE Transaction on Neural Network, 2007, 18(3) :950-954.
  • 9Ye D, Patios A G. Predictive path switching control for improving the quality of service in real-time applications[J]. IEEE Journal of Selected Topics in Signal Processing, 2007, 1 (2) : 308 -318.
  • 10Javed U, Suchara M,He J,et al. Multipath protocol for delay-sensitive traffic[C]. Proc. International Conference on COMmunication Systems and NETworks, January,2009.

同被引文献34

引证文献4

二级引证文献24

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