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大规模分布式资源搜索技术研究进展*
引用本文:霍林,黄俊文,潘英花,王力. 大规模分布式资源搜索技术研究进展*[J]. 计算机应用研究, 2010, 27(11): 4006-4009. DOI: 10.3969/j.issn.1001-3695.2010.11.002
作者姓名:霍林  黄俊文  潘英花  王力
作者单位:广西大学计算机与电子信息学院,南宁,530004
基金项目:国家“863”计划资助项目(2007AA01Z403)
摘    要:针对分布式资源搜索技术及其分类的特点,分别从基于网格的搜索技术的穷举式、集中式、路由式,以及基于P2P系统的搜索技术的集中式、全分布式非结构化、混合式、全分布式结构化等几个方面,对当前研究的分布式资源搜索技术进行了归纳总结,并且对该研究领域需要解决的问题进行了总结,对进一步研究的方向进行了展望。

关 键 词:分布式系统;网格;对等网络;资源搜索

Survey on resource search technology in large-scale distributed network
HUO Lin,HUANG Jun-wen,PAN Ying-hu,WANG Li. Survey on resource search technology in large-scale distributed network[J]. Application Research of Computers, 2010, 27(11): 4006-4009. DOI: 10.3969/j.issn.1001-3695.2010.11.002
Authors:HUO Lin  HUANG Jun-wen  PAN Ying-hu  WANG Li
Affiliation:(1.Institute of Command Automation, PLA University of Science & Technology, Nanjing 210007, China; 2.The 63rd Research Institute of PLA General Staff Headquarters, Nanjing 210007, China)
Abstract:The optimization problem under uncertainty because of its closer to the real world environment, thus have become a growing reasearch area recently. This paper thoroughly reviewed ant colony optimization algorithms, and their applications to the class of stochastic combinatorial optimization problems under uncertainty conditions. Firstly, introduced the conceptual classification model for combinatorial problems under uncertainty conditions and a general definition for the stochastic combinatorial optimization problem. Then, pointed out the main difference between stochastic combinatorial optimization problem and deterministic combinatorial optimization problem, that was the computation of the objective function under uncertainty, and then summarized the current solutions for solvins this problem. Finally, proposed several possible research directions and the expectations of the development in this area.
Keywords:distributed system   grid   P2P   resource search
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