Effective task scheduling and deployment is hard to achieve in a Grid environment, where computing resources are heterogamous and shared between local and Grid users without a cen...
When investigating the performance of running scientific/ commercial workflows in parallel and distributed systems, we often take into account only the resources allocated to the ...
Ligang He, Mark Calleja, Mark Hayes, Stephen A. Ja...
Abstract— In recent years our society has witnessed an unprecedented growth in computing power available to tackle important problems in science, engineering and medicine. For ex...
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 middlewa...
Stephen A. Jarvis, Daniel P. Spooner, Helene N. Li...
Grid environments enable users to share non-dedicated resources that lack performance guarantees. This paper describes the design of application-centric middleware components to a...