DocumentCode :
3450501
Title :
Distributed data management in workflow environments
Author :
Alonso, Gustavo ; Reinwald, Berthold ; Mohan, C.
Author_Institution :
Inst. of Inf. Syst., Eidgenossische Tech. Hochschule, Zurich, Switzerland
fYear :
1997
fDate :
7-8 Apr 1997
Firstpage :
82
Lastpage :
90
Abstract :
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
Keywords :
client-server systems; distributed databases; replicated databases; FlowMark; Lotus Notes; WFMS; client/server architecture; data management; distributed data management; workflow environments; Application software; Data handling; Documentation; Energy management; Environmental management; Law; Legal factors; Mechanical engineering; Scalability; Workflow management software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Research Issues in Data Engineering, 1997. Proceedings. Seventh International Workshop on
Conference_Location :
Birmingham
Print_ISBN :
0-8186-7849-6
Type :
conf
DOI :
10.1109/RIDE.1997.583708
Filename :
583708
Link To Document :
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