Business process modeling extension and scheduling strategy compatible with big data business

Abstract

Business Process Management (BPM) is the factual criteria for business process modeling. Although it is widely used in various fields, when required When using business processes to express big data business processes, the existing business process specifications do not support it. Big data business can only be simulated as multiple manual tasks before execution, which is not friendly to non-big data technology practitioners, and will The non-standardized business process and poor reusability lead to a reduction in the efficiency of business completion. On the other hand, while supporting big data technology brings flexibility to BPM, it consumes a lot of process engine resources when executing big data business processes, and the execution efficiency is low, which brings greater burden to the process engine. Aiming at the above deficiencies, this paper carries out the following work: (1) Extend the existing business process modeling, and define a new category of " Big Data Service Task" by extending the activity elements in BPMN2.0 (2) Propose a compatible big data technology The task scheduling strategy in the business process includes a single big data task scheduling decision and an intensive big data task scheduling decision.