The integration of data produced and collected across autonomous, heterogeneous web services is an increasingly important and challenging problem. Due to the lack of global identi...
Luis Gravano, Panagiotis G. Ipeirotis, Nick Koudas...
Scheduling parallel and distributed applications efficiently onto grid environments is a difficult task and a great variety of scheduling heuristics have been developed aiming to ...
Alexandre Ceasar Tavares Vidal, Francisco Jos&eacu...
Many-task computing aims to bridge the gap between two computing paradigms, high throughput computing and high performance computing. Many-task computing denotes highperformance co...
Ioan Raicu, Ian T. Foster, Mike Wilde, Zhao Zhang,...
The trend in microprocessor design toward multicore and manycore processors means that future performance gains in software will largely come from harnessing parallelism. To reali...
Scheduling and load-balancing techniques play an integral role in reducing the overall execution time of scientific applications on clustered multi-node systems. The increasing co...
S. P. Muszala, Gita Alaghband, Daniel A. Connors, ...