Title :
Enabling QoS for Service-Oriented Workflow on GRID
Author :
Guo, L. ; McGough, A.S. ; Akram, A. ; Colling, D. ; Martyniak, J. ; Krznaric, M.
Author_Institution :
Imperial Coll. London, London
Abstract :
As the main computing paradigm for resource- intensive scientific applications, Grid[1] enables resource sharing and dynamic allocation of computational resources. It promotes access to distributed data, operational flexibility and collaboration, and allows service providers to be distributed both conceptually and physically to meeting different requirements. Large- scale grids are normally composed of huge numbers of components from different sites, which increases the requirements of workflows and quality of service (QoS) upon these workflows as many of these components have real-time requirements. In this paper, we describe our web services based QoS-aware workflow management system(WfMS) from GridCC project[7] and show how this WfMS can aid to ensure workflows meet the pre-defined QoS requirements and optimise them accordingly.
Keywords :
Web services; grid computing; quality of service; workflow management software; QoS-aware workflow management system; Web services; computational resources; distributed data access; dynamic allocation; grid computing; quality of service; resource sharing; service providers; service-oriented workflow; Distributed computing; Grid computing; Instruments; Physics computing; Quality management; Quality of service; Resource management; Service oriented architecture; Taxonomy; Web services;
Conference_Titel :
Computer and Information Technology, 2007. CIT 2007. 7th IEEE International Conference on
Conference_Location :
Aizu-Wakamatsu, Fukushima
Print_ISBN :
978-0-7695-2983-7
DOI :
10.1109/CIT.2007.43