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QoS support for high-performance scientific grid applications

Al-Ali, Rashid, von Laszewski, Gregor, Amin, Kaizar, Hategan, Mihael, Rana, Omer Farooq, Walker, David William and Zaluzec, Nestor 2004. QoS support for high-performance scientific grid applications. Presented at: IEEE International Symposium on Cluster Computing and the Grid, Chicago, IL, USA, 19-22 April 2004. CCGrid 2004 : 2004 IEEE International Symposium on Cluster Computing and the Grid. Piscataway, N.J: IEEE, pp. 134-143. 10.1109/CCGrid.2004.1336559

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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 nanomaterials application.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords: Grid applications , Open Grid Services Architecture , QoS , collaborative mode , distributed resources , high-performance scientific applications , nanomaterials , quality-of-service , virtual organizations
Publisher: IEEE
ISBN: 9780780384309
Last Modified: 04 Jun 2017 04:46
URI: http://orca.cf.ac.uk/id/eprint/44478

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