In a Grid computing environment, resources are shared among a large number of applications. Brokers and schedulers find matching resources and schedule the execution of the applic...
Seyed Masoud Sadjadi, Shu Shimizu, Javier Figueroa...
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...
Real-time monitoring is increasingly becoming important in various scenes of large scale, multi-site distributed/parallel computing, e.g, understanding behavior of systems, schedu...
In the age of Grid, Cloud, volunteer computing, massively parallel applications are deployed over tens or hundreds of thousands of resources over short periods of times to complete...