Grid computing provides a very rich environment for scientific calculations. In addition to the challenges it provides, it also offers new opportunities for optimization. In this ...
Bingchen Li, Kang Chen, Zhiteng Huang, H. L. Rajic...
Traditionally, distributed resource management/ scheduling systems for the Grid (e.g. Globus/ GRAM/ Condor-G) have tended to deal with coarsegrained and concrete resource types (e....
Wei Cai, Geoff Coulson, Paul Grace, Gordon S. Blai...
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...
Most of today's multiprocessors have a DistributedShared Memory (DSM) organization, which enables scalability while retaining the convenience of the shared-memory programming...
Angeles G. Navarro, Rafael Asenjo, Emilio L. Zapat...
Parallel and distributed computing infrastructure are increasingly being embraced in the context of manufacturing applications, including real-time scheduling. In this paper, we pr...