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

J. Leon Zhao, Akhil Kumar

Research output: Contribution to journalArticle

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 languageEnglish (US)
Pages (from-to)22-32
Number of pages11
JournalData Base for Advances in Information Systems
Volume29
Issue number4
DOIs
StatePublished - Sep 1 1998

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Computer Networks and Communications

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