摘要
本文提出了一种将业务流程进行优化分解成为可以进行独立并行处理任务的方法,可以在云计算环境下分组处理具有共同特征的计算和操作任务,实现优化资源调配.通过Hadoop MapReduce并行计算架构进行模拟验证,实验结果表明了该方法在业务处理效率、资源使用和灵活性方面的优势,在大量在线和批量业务流程处理领域具有一定的应用和深入研究价值.
A BPO method is presented, which consists in creating a dynamic model and dividing process into parallel and independent tasks to whom are allocated adequate computing resources, tasks with similar operation features are grouped and could be processed in cloud computing architecture. A Hadoop MapReduce cloud computing environment is set up to simulate the performance of the proposed model and experimental results show some inspiring advantages which deserve further research and application work.
出处
《微电子学与计算机》
CSCD
北大核心
2013年第3期160-164,共5页
Microelectronics & Computer