Flows and views for scalable scientific process integration

Qing Li, Zhe Shan, Patrick C.K. Hung, Dickson K.W. Chiu, S. C. Cheung

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)

Abstract

Workflow technology has recently been employed in scientific applications because of their ever-increasing complexities across multiple organizations, institutes, research labs, or units over the Internet and Intranet. In this paper, we propose a methodology for the decomposition of complex scientific process requirements into different types of elementary flows such as control, data, exception, semantics, and security. Based on that, we can determine the subset of each type of flows (i.e., flow views) necessary and the related requirements for the interactions with each type of collaboration partners in the process integration. These subsets collectively constitute a process view, based on which interactions can be systematically designed, integrated and managed in a scalable way. We show with a case study in a scientific research environment to demonstrate our approach. We further illustrate how these flows can be implemented with various contemporary Web services technologies.

Original languageEnglish
Title of host publicationProceedings of the 1st International Conference on Scalable Information Systems, InfoScale '06
DOIs
Publication statusPublished - 1 Dec 2006
Externally publishedYes
Event1st International Conference on Scalable Information Systems, InfoScale '06 - Hong Kong, Hong Kong
Duration: 30 May 20061 Jun 2006

Publication series

NameACM International Conference Proceeding Series
Volume152

Conference

Conference1st International Conference on Scalable Information Systems, InfoScale '06
CountryHong Kong
CityHong Kong
Period30/05/061/06/06

Keywords

  • Cross-organizational process view
  • Exceptions
  • Flows
  • Web services

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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