期刊文献+

基于层次分析法的空间信息网管理域划分算法 被引量:2

Management domain division algorithm based on analytic hierarchy process in space information network
下载PDF
导出
摘要 空间信息网是一种由陆海空天信息系统构成的智能化网络,针对空间信息网网络管理可扩展性方面的要求,提出一种管理域划分算法。建立基于动态分层结构的网络管理组织模型,使用层次分析法(AHP)选举管理分站,规划合理的管理区域;采用移动代理技术迁移管理分站的功能进行管理域维护,并提出包括管理域合并、分裂、切换的维护机制。仿真实验对管理域划分开销、划分时间和管理数据采集时间进行了分析,结果表明算法能有效执行空间信息网管理区域的划分。 Space information network is an intelligent system constituted by information systems of land,sea,air and space.An algorithm of management domain division was proposed to meet the needs of scalability in network management for space information network.An organization model of management was designed.Analytic Hierarchy Process(AHP) was used to select sub-management station,and then appropriate management domains could be formed.In domain maintenance phase,the function of sub-management station was migrated by mobile Agents.Dynamical maintaining mechanisms like domain merger/partition,reaffiliation and adaptive adjustment of information update period were also designed.The overhead and time spent in division as well as in data collecting for management were analyzed through simulations.The experimental results show the proposed algorithm of management domain division is suitable for space information network.
作者 林丽 关德君
出处 《计算机应用》 CSCD 北大核心 2011年第8期2279-2281,2285,共4页 journal of Computer Applications
关键词 空间信息网 网络管理 层次分析法 管理域划分 space information network network management Analytic Hierarchy Process(AHP) management domain division
  • 相关文献

参考文献10

  • 1王晓海.天基综合信息网络的发展[J].中国航天,2007(1):25-27. 被引量:3
  • 2JACKSON J. The interplanetary Intemet: NASA researchers quarrel over how to network outer space [ J]. IEEE Spectrum, 2005, 43 (8): 31 -35.
  • 3AKYILDIZ 1 F, AKANO B, CHEN CHAO, et al. InterPlaNetary Internet: State-of-the-art and research challenges [ J]. Computer Networks, 2003, 43(2): 75-112.
  • 4吴迪,魏亿涛,王光兴.一种用于MEO/LEO卫星网络管理的分簇算法[J].计算机工程与应用,2007,43(23):151-154. 被引量:4
  • 5CHEN WENLI, NITIN J, SINGH S. ANMP: Ad Hoc network man- agement protocol [ J]. IEEE Journal on Selected Areas in Communi- cations, 1999, 17(8): 1506-1531.
  • 6KIM J-I, SONG J-Y, HWANG Y-C. Location-based routing algo- rithm using clustering in the MANET [ C]// FGCN 2007: Future Generation Communication and Networking. Piscataway, NJ: IEEE Press, 2007:527-531.
  • 7FENG YONG-XIN, ZHAO LIN-LIANG, WANG GUANG-XING. A clustering algorithm applied to the network management on mobile Ad Hoe network [ C]//ICII 2001: Proceedings of 2001 Intemation-al Conferences on Info-tech and Info-net. Washington, DC: IEEE Computer Society, 2001:626-631.
  • 8宋剑锋,张维明.分布式卫星组网管理域划分算法[J].计算机工程与应用,2006,42(28):1-4. 被引量:3
  • 9CHADHA R, CHENG HONG, CHENG Y-H, et al. Policy-based mo- bile Ad Hoe network managemem [C]// Proceedings of the Fifth IEEE International Workshop on Policies for Distributed Systems and Net- works. Washington, DC: IEEE Computer Society, 2004:35-44.
  • 10RABINER L, JUANG B H. An introduction to hidden Markov mod- els [J]. IEEE ASSP Magazine, 1986, 3(1) : 4 - 16.

二级参考文献12

  • 1吴凤鸽,孙富春,孙增圻,余珂,李磊.LEO/MEO双层卫星网络的性能分析[J].计算机研究与发展,2005,42(2):259-265. 被引量:3
  • 2严蔚敏 吴伟民.数据结构[M].北京:清华大学出版社,1997..
  • 3Henderson T.Networking over Next-Generation Satellite systems[D].PhD Thesis.University of California Berkeley,1999
  • 4Compareto G,Ramirez R.Trends in Mobile Satellite Technology[J].IEEE Computer,1997:44~52
  • 5http://www.ccsds.org/CCSDS/recommandreports.html
  • 6http://www.scps.org/html/protocol_standards.html
  • 7Chen W,Jain N,Singh S.ANMP:Ad hoc network management protocol[J],IEEE JSAC,1999,17 (8):1506-1531.
  • 8Todorova P.Network management in ATM LEO satellite networks[C]//Proceedings of the 35th Hawaii International Conference on System Sciences,2002:300-306.
  • 9Huy Hoang To,Krishnas-wamy S,Srinivasan B.Mobile agents for network management:when and when not![C]//ACM Symposium on Applied Computing,Santa Fe,New Mexico,March 13-17,2005:47-53.
  • 10Jiang Yue-qiu,Liu Yong-bing,Wen Ying-you,et al.A clustering algorithm applied to the satellite networks management[C]//Proceedings of the Fourth International Conference on Parallel and Distributed Computing,Applications and Technologies,2003:396-399.

共引文献7

同被引文献23

  • 1李响.基于BP神经网络的股价预测[J].大连海事大学学报,2008,34(z1):114-116. 被引量:6
  • 2李雄伟,周希元,杨义先.基于层次分析法的网络攻击效果评估方法研究[J].计算机工程与应用,2005,41(24):157-159. 被引量:21
  • 3Tai-Liang Chena, Ching-Hsue Cheng, Hia Jong Teoha. Fuzzy time-series based on Fibonacei sequence for stock price forecasting[J]. Physiea A, 2007,380:377 - 390.
  • 4Melike Bildirici. Improving forecasts of GARCH family models with the artificial neural networks:An application to the daily returns in Istanbul Stock Exchange [J]. Expert Systems with Applications, 2009,36:7355 - 7362.
  • 5Ping-Feng Pai, Chih-Sheng Lin. A hybrid ARIMA and support vector machines model in stock price forecasting[J~. Omega, 2005,33:497 - 505.
  • 6Henri Nyberg. Forecasting the direction of the US stock market with dynamic binary probit models[J].International Journal of Forecasting, 2011,27:561 - 578.
  • 7Saaty TL. The analytical hierarchy process [M]. New York: McGraw Hill. 1980.
  • 8许树柏.层次分析法原理[M].天津:天津大学出版社,1988.160-165.
  • 9储小俊,刘思峰.基于新陈代谢GM-Markov模型的股价预测[J].山东财政学院学报,2007(3):43-45. 被引量:2
  • 10路杨,何欣,杜娟娟.基于灰色理论的故障案例检索算法[J].计算机工程,2008,34(9):28-29. 被引量:10

引证文献2

二级引证文献5

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