DHPC Adelaide

DHPC Technical Report DHPC-183

Improving the Functionality and Customization of Scheduling Services for Grid Computing

Jingjing Sun

Archived: 21 January 2009

University of Adelaide Masters by coursework thesis, June 2007.

Supervisors: Paul Coddington and Andrew Wendelborn

Abstract

Over the last few years, the Grid Computing technologies has rapidly evolved towards a service­oriented architecture based on standards developed within the Web Services and open Grid computing communities, however, few of the current large scale and national grid projects have utilized the latest WS­based grid middlewares and standards for constructing a service­oriented grid, consequently, most of the current grid job scheduling systems just provide support for the old grid middlewares and standards, rather than the latest WS­based grid technologies. Furthermore, no matter what standards or middlewares these meta­schedulers support, none of them offer the capabilities for advanced scheduling which are very important to build a completely virtualized working environment for domain experts, thus enabling them fully focus problem solving rather than any specific technical details. All of these problems have become serious obstacles to fully deliver the potential of a WS­based grid system.

This project aims to make up the gap between the latest WS­based grid middlewares and information standards and the functionalities provided by current grid job scheduling systems. Our major work is to customize and deploy a powerful scheduling system which fully supports forefront service­oriented grid middlewares and standards, thus enabling it to fully virtualize the high performance computing resources across a service­oriented Grid, and provide the grid users with an easy­to­use, intelligent job submission and execution environment. Our implementation initially focuses on the Australian Nation Grid, a large scale and national grid which is using the latest web­ based grid middlewares and standards. Our major contribution will be providing important information and related experience for virtualizing computing resources across and deploying a meta­scheduling system on a service­oriented Grid, based on the latest WS­based grid technologies.


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