Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

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

Full text not available from this repository.


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

Citation Data

Actions (repository staff only)

Edit Item Edit Item