| 摘要: |
| 针对数据共享环境多数据源选择MDSS(multiple data sources selection)问题,基于Pareto最优理论提出了MDSSA(MDSS algorithm)算法.该算法借助崭新的基于法线测量的非线性路径代价方程计算出到每个数据源的最优路径集合,进而通过代价对比确定实施数据访问的最佳数据源及路径,极大地缩小了搜索空间,在搜索到有效路径的同时,确保了算法的响应时间.大量仿真实验表明,MDSSA算法是有效的. |
| 关键词: 数据共享环境 多数据源 服务质量 多目标优化 |
| DOI： |
| 分类号: |
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| An Efficient Multiple Data Sources Selection Algorithm in Data-Sharing Environments |
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WANG Xiao-Qing,ZHENG Yan-Xing,SHI Mei-Lin
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| Abstract: |
| 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. |
| Key words: data-sharing environment multiple data source quality of service multiple objective optimization |
