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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 it 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... (Update)
Context of citations to this paper: More
.... systems do) but this implies that data will have to be accessed remotely which can have a considerable impact on performance (see [ARM97] on how to cope with data handling problems in these environments) 4.4 External Objects Handling external data is crucial in geo...
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BibTeX entry: (Update)
G. Alonso, B. Reinwald, and C. Mohan. Distributed Data Management in Workflow Environments. In Seventh International Workshop on Research Issues in Data Engineering (RIDE'97), Birmingham, England, April 1997. http://citeseer.ist.psu.edu/article/alonso97distributed.html More
@inproceedings{ alonso97distributed,
author = "Gustavo Alonso and Berthold Reinwald and C. Mohan",
title = "Distributed Data Management in Workflow Environments",
booktitle = "{Proc. 7th International Workshop on Research Issues in Data Engineering (RIDE'97), Birmingham, England, April 1997. }",
pages = "",
year = "1997",
url = "citeseer.ist.psu.edu/article/alonso97distributed.html",
url = "citeseer.nj.nec.com/article/alonso97distributed.html" }
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