Data Management Issues for Large Scale, Distributed Workflow Systems on the Internet

J. Leon Zhao; Akhil Kumar

doi:10.1145/335505.335509

Data Management Issues for Large Scale, Distributed Workflow Systems on the Internet

J. Leon Zhao, Akhil Kumar

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

The Internet is providing worldwide connectivity for business organizations and has created a much greater opportunity for people to collaborate remotely in an automated workflow setting. However, the speed of delivery of workflow data on the Internet can be unpredictable due to variability in traffic and limited bandwidth. Further, the issue of data management becomes more complex when the system consists of various clients with different system and networking settings. In this paper, we investigate several data management problems in distributed workflow management on the Internet and propose solutions for improving workflow efficiency. More specifically, we explore research issues with respect to system architectures and various data delivery techniques. Our study indicates that it is possible to improve performance considerably by selecting the right combinations of data delivery techniques and system characteristics.

Original language	English (US)
Pages (from-to)	22-32
Number of pages	11
Journal	Data Base for Advances in Information Systems
Volume	29
Issue number	4
DOIs	https://doi.org/10.1145/335505.335509
State	Published - Sep 1 1998

All Science Journal Classification (ASJC) codes

Management Information Systems
Computer Networks and Communications

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Data Management Issues for Large Scale, Distributed Workflow Systems on the Internet

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All Science Journal Classification (ASJC) codes

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