论文标题
从工作流程存储中间数据的增益损失比
Gain-loss ratio of storing intermediate data from workflows
论文作者
论文摘要
顺便说一句，对于输入数据集以获取所需的输出可能需要大量数据的系统处理。通常，在工作流管理系统（WMS）中，用户通过手动选择和互连有关某些特定任务的各种模块来构建工作流。因此，一种自动建议模块中适当的中间数据集的系统以及为保存中间状态的决定的建议将有助于管道构建过程。这项工作研究了一种技术，可以自动提出通过采矿和分析先前开发的工作流程的关联规则来使用和存储的中间数据集。对工作流程的调查表明，关联规则挖掘技术可以帮助我们提出后续的检索和存储数据的模块，并以减损比率进行解释。
Sequentially, the systematic processing of a significant amount of data can be necessary for input datasets to get desired outputs. In a workflow management system(WMS), usually, users build workflows by manually selecting and interconnecting various modules concerning some particular tasks. Thus, a system of automatically suggesting the appropriate intermediate datasets for modules and a suggestion for the decision of saving intermediate states will be helpful in a pipeline building process. This work investigates a technique for both automatically suggesting the intermediate datasets to use and store through mining and analyzing association rules from the previously developed workflows. Investigation on workflows shows that the association rule mining technique can help us to suggest subsequent modules for retrieving and storing data and explain them with gain-loss ratios.
