Data management issues for large scale, distributed workflow systems on the internet

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)22-32
Journal / PublicationData Base for Advances in Information Systems
Volume29
Issue number4
StatePublished - Sep 1998
Externally publishedYes

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.

Research Area(s)

  • Data delivery techniques, Distributed workflow management, Internet latency, Prefetching strategy, Proactive delivery