为解决在请求密集的关键性业务应用中,业务流程管理系统的可扩展性受到传统的流程数据管理方法制约的问题,提出一种基于特征的业务流程数据可扩展管理机制。该机制充分考虑了业务流程管理系统中各种流程数据的特征,综合利用关系型数据库和分布式键值存储系统的优势管理相应的流程数据,提升了系统的整体性能和可扩展性,并通过抽象的流程数据访问层对流程引擎屏蔽了底层数据模型的差异。通过实验验证了所提机制的有效性。%To solve the problem that scalablility of business process management was limited by traditional process data management in request-intensive critical applications,a feature-based scalable management mechanism was proposed.This mechanism fully considered various data feature in business process management,and utilized advantages of both relational database and distributed key-value storage system to manage corresponding process data.The overall performance and scalability of the entire system were improved,and moreover,an Abstract process data access layer was designed to shield the differences of infrastructure data models for process engine.Effectiveness of the proposed mechanism was verified by experiment.
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