Local Grid Scheduling Techniques using Performance Prediction
Spooner, D.P., Jarvis, S.A., Cao, J., Saini, S. and Nudd, G.R. (2003) Local Grid Scheduling Techniques using Performance Prediction. IEE Proceedings - Computers and Digital Techniques, 150 (2). pp. 87-96. ISSN 1350-2387
- Published Version
Download (288Kb) | Preview
The use of computational grids to provide an integrated computer platform, composed of differenti- ated and distributed systems, presents fundamental resource and workload management questions. Key services such as resource discovery, monitoring and scheduling are inherently more complicated in a grid environment where the resource pool is large, dynamic and architecturally diverse.
In this research, we approach the problem of grid workload management through the development of a multi-tiered scheduling architecture (TITAN) that employs a performance prediction system (PACE) and task distribution brokers to meet user-defined deadlines and improve resource usage efficiency. This paper focuses on the lowest tier which is responsible for local scheduling. By coupling application performance data with scheduling heuristics, the architecture is able to balance the processes of minimising run-to- completion time and processor idle time, whilst adhering to service deadlines on a per-task basis.
|Uncontrolled Keywords:||pcav hpsg grid scheduling performance|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
|Divisions:||Faculty of Science > Computer Science|
|Depositing User:||Simon Hammond|
|Date Deposited:||02 May 2011 17:29|
|Last Modified:||23 Feb 2012 09:08|
Actions (login required)