QQ客服 官方微博 反馈留言

	An efficient multiple data sources selection algorithm in data-sharing environments
	Wang Xiao-Qing ; Zheng Yan-Xing ; Shi Mei-Lin
	2010-05-06 ; 2010-05-06
关键词	Practical Theoretical or Mathematical/ approximation theory data handling nonlinear programming Pareto optimisation quality of service/ multiple data sources selection algorithm data-sharing environments Pareto optimization nonlinear cost function approximate Pareto optimal paths quality of service/ C6130 Data handling techniques C1180 Optimisation techniques C4130 Interpolation and function approximation (numerical analysis)
中文摘要	The problem of multiple data sources selection (MDSS) in DSE (data-sharing environments) is addressed and the algorithm MDSSA (MDSS algorithm) is presented. MDSSA introduces the concept of Pareto optimization which reduces the search space greatly. By means of a novel normal-measure based nonlinear cost function, MDSSA computes approximate Pareto optimal paths to each data source first, and then gives the optimal data source and its corresponding path by comparing the cost of all candidate paths, resulting in finding more effective paths and much shorter response time. Extensive simulations show the efficiency of the algorithm.
语种	中文 ; 中文
出版者	Science Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/10366]
专题	清华大学
推荐引用方式 GB/T 7714	Wang Xiao-Qing,Zheng Yan-Xing,Shi Mei-Lin. An efficient multiple data sources selection algorithm in data-sharing environments[J],2010, 2010.
APA	Wang Xiao-Qing,Zheng Yan-Xing,&Shi Mei-Lin.(2010).An efficient multiple data sources selection algorithm in data-sharing environments..
MLA	Wang Xiao-Qing,et al."An efficient multiple data sources selection algorithm in data-sharing environments".(2010).

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。