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). |
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