As efforts to develop grid computing solutions gather pace, considerable attention has been directed at defining and addressing technical requirements associated with computationa...
Ernest Sithole, Gerard P. Parr, Sally I. McClean, ...
Many optimization techniques have been adopted for efficient job scheduling in grid computing, such as: genetic algorithms, simulated annealing and stochastic methods. Such techni...
Renato Porfirio Ishii, Rodrigo Fernandes de Mello,...
Nowadays, grid and peer-to-peer (p2p) technologies have become popular solutions for large-scale resource sharing and system integration. For e-science workflow systems, grid is a...
Yun Yang, Ke Liu, Jinjun Chen, Joel Lignier, Hai J...
An accurate cost-model that accounts for dataset size and structure can help optimize geoscience data analysis. We develop and apply a computational model to estimate data analysi...
An emerging class of data-intensive applications involve the geographically dispersed extraction of complex scientific information from very large collections of measured or compu...
William E. Allcock, Joseph Bester, John Bresnahan,...