QoS support for high-performance scientific grid applications

Rashid Al-Ali, Gregor Von Laszewski, Kaizar Amin, Mihael Hategan, Omer Rana, David Walker, Nestor Zaluzec

Research output: Chapter in Book/Report/Conference proceedingConference contribution

24 Citations (Scopus)

Abstract

The Grid approach provides the ability to access and use distributed resources as part of virtual organizations. The emerging Grid infrastructure gives rise to a class of scientific applications and services to support collaborative and distributed resource-sharing requirements as part of teleimmersion, visualization, and simulation services. Because such applications operate in a collaborative mode, data must be stored and delivered in timely manner to meet deadlines. Hence, this class of applications has stringent real-time constraints and quality-of-service (QoS) requirements. A QoS management approach is required to orchestrate and guarantee the interaction between such applications and services. In this paper we discuss the design and prototype implementation of a QoS system and show how we enable Grid applications to become QoS compliant. We validate this approach through a case study of nanomaterials. Our approach, enhances the current Open Grid Services Architecture. We demonstrate the usefulness of the approach on a nano materials application.

Original languageEnglish
Title of host publication2004 IEEE International Symposium on Cluster Computing and the Grid, CCGrid 2004
Pages134-143
Number of pages10
Publication statusPublished - 29 Sep 2004
Event2004 IEEE International Symposium on Cluster Computing and the Grid, CCGrid 2004 - Chicago, IL, United States
Duration: 19 Apr 200422 Apr 2004

Publication series

Name2004 IEEE International Symposium on Cluster Computing and the Grid, CCGrid 2004

Other

Other2004 IEEE International Symposium on Cluster Computing and the Grid, CCGrid 2004
CountryUnited States
CityChicago, IL
Period19/4/0422/4/04

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Al-Ali, R., Von Laszewski, G., Amin, K., Hategan, M., Rana, O., Walker, D., & Zaluzec, N. (2004). QoS support for high-performance scientific grid applications. In 2004 IEEE International Symposium on Cluster Computing and the Grid, CCGrid 2004 (pp. 134-143). (2004 IEEE International Symposium on Cluster Computing and the Grid, CCGrid 2004).