工作流环境中的分布式数据管理

G. Alonso, B. Reinwald, C. Mohan
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引用次数: 38

摘要

大多数现有的工作流管理系统(WFMSs)都是基于客户机/服务器架构的。这种体系结构简化了整体设计,但它与工作流应用程序的分布式特性不匹配,并且在可伸缩性和可靠性方面施加了严重的限制。此外,工作流引擎在数据管理方面并不十分复杂。忘记了工作流在很大程度上是数据流这一事实。在本文中,我们提出了一种新的架构来解决WFMS中的数据管理问题。该体系结构基于一个完全分布式的工作流引擎,用于控制流,加上一组松散同步的复制数据库,用于数据流。由此产生的系统提供了比现有方法更好的健壮性和可靠性以及更好的数据处理能力。为了更好地说明这种新颖的体系结构及其含义,本文使用了两个商业系统:FlowMark(工作流引擎)和Lotus Notes的复制功能(分布式数据管理的支持系统)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed data management in workflow environments
Most existing workflow management systems (WFMSs) are based on a client/server architecture. This architecture simplifies the overall design but it does not match the distributed nature of workflow applications and imposes severe limitations in terms of scalability and reliability. Moreover workflow engines are not very sophisticated in terms of data management. Forgetting the fact that workflow is, to a great extent, data flow. In this paper we propose a novel architecture to address the issue of data management in a WFMS. This architecture is based on a fully distributed workflow engine for control flow, plus a set of loosely synchronized replicated databases for dataflow. The resulting system offers greater robustness and reliability as well as much better data handling capabilities than existing approaches. To better illustrate this novel architecture and its implications, two commercial systems are employed in this paper: FlowMark, as the workflow engine, and the replication capabilities of Lotus Notes, as the support system for distributed data management.
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