摘要
协同任务系统目前已应用到更多领域,资源服务序列对提高资源服务选取和利用率至关重要,但多组织交互以及大规模业务数据使资源服务的时序分析更加困难.以典型的协同制造系统为背景,提出一种资源服务时序关系分析方法.以工作流实例为业务数据分析的最小单位,根据计算能力对业务数据分段,利用时序关系矩阵表示资源服务之间的时序关系,采用移动平均法对协同任务中的资源服务序列进行迭代分析,根据资源服务类别合并分析结果,采用带权有向图表示资源服务时序关系模型.最后通过仿真实验和案例分析,验证方法的有效性.
Collaborative task systems have been applied to many fields nowadays. Resource Service Sequence is very important for im- proving the efficiency of resource service selection and improving the utilization of resource services. However, the characteristics, in- cluding interoperation between organizations,and massive business data,cause a lot of difficulties to analyzing sequence of resource services. In the background of Collaborative Manufacturing system, a method for analyzing temporal relationship between resource services is presented. Firstly, each workflow instance is considered as the minimal unit for business data analysis. Massive business data is partitioned into segments according to computing capacity. Then,a matrix which its rows represent the preorder source service and its columns represent the following source service is used to represent the temporal relationships between resource services. The se- quences are obtained by using moving average method to solve from each segment iteratively and combining by source service catego- ries iteratively,and are represented as resource service sequence model using a directed graph with weight. Each node in the graph re- presents a source service, and each directed edge in the graph represents a sequence between resource services. The weight of each edge is the proportion of the sequence. The arrows in graph point to the following source services. Finally, the proposed method has been tested with a simulation experiments and a case analysis respectively,and the results show that it can be very promising.
出处
《小型微型计算机系统》
CSCD
北大核心
2016年第11期2421-2427,共7页
Journal of Chinese Computer Systems
基金
福建省自然科学基金项目(2012J01272)资助
泉州市科技计划项目(2015Z125)资助
关键词
协同任务
资源服务序列
工作流
collaborative task
resource service sequence
workflow
