Performance Prediction and Its Use in Parallel and Distributed Computing Systems

Performance prediction is set to play a significant role in supportive middleware that is designed to manage workload on parallel and distributed computing systems. This middleware underpins the discovery of available resources, the identification of a task’s requirements and the matchmaking, scheduling and staging that follow. This paper documents two prediction-based middleware services that address the implications of executing a particular workload on a given set of resources. These services are based on an established performance prediction system that is employed at both the local (intra-domain) and global (multi-domain) levels to provide dynamic workload steering. These additional facilities bring about significant performance improvements, the details of which are presented with regard to system- and user-level qualities of service. The middleware has been designed for the management of resources and distributed workload across multiple administrative boundaries, a requir...

• Type: Conference
• Year: 2003
• Where: IPPS
• Authors: Stephen A. Jarvis, Daniel P. Spooner, Helene N. Lim Choi Keung, Graham R. Nudd, Junwei Cao, Subhash Saini
• Keywords: Distributed And Parallel Computing, IPPS 2003, Middleware, Performance Prediction, Workload