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计算机科学

一种基于分组自适应的网络环境快速构建方法

  • 王佳宾 ,
  • 连一峰 ,
  • 陈恺
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  • 1. 中国科学院软件研究所, 信息安全国家重点实验室, 北京 100190;
    2. 信息网络安全公安部重点实验室,公安部第三研究所, 上海 201204;
    3. 信息安全共性技术国家工程研究中心, 北京 100190;
    4. 中国科学院研究生院, 北京 100049

收稿日期: 2011-03-11

  修回日期: 2011-06-13

  网络出版日期: 2012-07-15

基金资助

国家高技术研究发展计划(863)(2009AA012439),信息网络安全公安部重点实验室(公安部第三研究所)开放基金(C10606), 国家高技术产业化信息安全专项基金,国家自然科学基金(61100226)和北京市自然科学基金(4122085)资助

A quick network constructing method based on adaptive grouping

  • WANG Jia-Bin ,
  • LIAN Yi-Feng ,
  • CHEN Kai
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  • 1. State Key Laboratory of Information Security,Institute of Software, Chinese Academy of Sciences, Beijing 100190, China;
    2. Key Lab of Information Network Security of Ministry of Public Security, Shanghai 201204, China;
    3. National Engineering Research Center of Information Security, Beijing 100190, China;
    4. Graduate University, Chinese Academy of Sciences, Beijing 100049, China

Received date: 2011-03-11

  Revised date: 2011-06-13

  Online published: 2012-07-15

摘要

针对现有的网络环境构建方法部署效率低和灵活性差的缺点,提出一种基于分组自适应策略的网络环境快速构建方法. 根据软件部署时间的分布特点采取适当的分组方法,减少主机共有软件的重复部署时间,提高软件部署效率. 在此基础上,实现了一套以分组自适应策略为基础的网络环境快速构建原型系统. 对提出的相关策略和算法进行了验证.

本文引用格式

王佳宾 , 连一峰 , 陈恺 . 一种基于分组自适应的网络环境快速构建方法[J]. 中国科学院大学学报, 2012 , 29(4) : 536 -542 . DOI: 10.7523/j.issn.2095-6134.2012.4.016

Abstract

Direct deployment and computer cloning are the two existing network constructing methods, which have low efficiency and flexibility. We propose a quick network constructing method using adaptive grouping policy based on the distribution characteristics of deployment time. The method reduces repeated deployment time and improves efficiency. An adaptive grouping-based quick network constructing prototype system is implemented and the algorithm is verified.

参考文献

[1] Brian W, Jay L, Leigh S, et al. An integrated experimental environment for distributed systems and networks //Proceedings of the 5th Symposium on Operating Systems Design and Implementation. New York, NY, USA,2002:255-270.
[2] Wang Y Y, Matthew J R, Antonio C, et al. Automating experimentation on distributed testbeds //Proceedings of the 20th IEEE/ACM International Conference on Automated Software Engineering. Long Beach, CA, USA,2005:164-173.
[3] Mike H, Robert R, Leigh S, et al. Large-scale virtualization in the Emulab network testbed //USENIX 2008 Annual Technical Conference on Annual Technical Conference. Boston, Massachusetts,2008:113-128.
[4] Brent C, David C, Timothy R, et al. PlanetLab: an overlay testbed for broad-coverage services[J]. SIGCOMM Computer Communication Review, 2003,33(3):3-12.
[5] Michael V, Justin M, Jay C, et al. Scalability, fidelity, and containment in the potemkin virtual honeyfarm //Proceedings of the Twentieth ACM Symposium on Operating Systems Principles. Brighton,United Kingdom,2005:148-162.
[6] Horacio A L, Joseph A W, Adin M S, et al. SnowFlock: rapid virtual machine cloning for cloud computing //Proceedings of the 4th ACM European Conference on Computer Systems. Nuremberg, Germany,2009:1-12.
[7] Paul B, Boris D, Keir F, et al. Xen and the art of virtualization //Proceedings of the Nineteenth ACM Symposium on Operating Systems Principles. New York,USA,2003:164-177.
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