内存业务流程管理

Sören Balko, A. Barros
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引用次数: 6

摘要

内存数据库已经成为企业计算的支柱,为OLAP和OLTP工作负载提供了显著的性能提升,并通过高效的共享数据库层改善了应用程序集成的前景。尽管在内存数据管理方面进行了大量的研发投资,但中间件平台对应用程序集成的影响方面的见解有限,例如,它们需要如何发展以利用内存数据库功能。本文首次阐述了内存数据库作为关键任务模型驱动的应用程序集成中间件如何影响业务流程管理。通过它,我们讨论了内存数据库如何使BPM中间件的一些流行用例过时,同时为更紧密的应用程序集成、更好的流程自动化性能和一些全新的BPM功能(如基于流程的应用程序定制)开辟了前景。为了验证内存中BPM的可行性,我们开发了一个非常简单的BPM运行时嵌入到SAP HANA中,并提供基于bpmn的流程自动化功能。
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In-Memory Business Process Management
In-memory databases have become a mainstay of enterprise computing offering significant performance boosts for OLAP and OLTP workloads as well as improved prospects for application integration through an efficient, shared database layer. Despite significant R&D investments into in-memory data management, limited insights are available on the impacts of middleware platforms for application integration, i.e., How they need to evolve to leverage in-memory database capabilities. This paper provides a first exposition into how in-memory databases impact Business Process Management, as a mission-critical model-driven application integration middleware. Through it, we discuss how in-memory databases will render some prevalent uses cases of BPM middleware obsolete, while opening up prospects for tighter application integration, better process automation performance and some entirely new BPM capabilities such as process-based application customization. To validate the feasibility of an in-memory BPM, we develop a surprisingly simple BPM runtime embedded into SAP HANA and providing for BPMN-based process automation capabilities.
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