Resource prediction can greatly assist resource selection and scheduling in a distributed resource sharing environment such as a computational grid. Existing resource prediction m...
The continuous increasing in performance requirements, for both scientic computation and industry, motivates the need of a powerful computing infrastructure. The Grid appeared as ...
Scientific workflows are a powerful programming technique for specifying complex computations using a number of otherwise independent components. When used in a Grid environment, ...
Scientific workflows are frequently being used to model complex phenomena, to analyze instrumental data, to tie together information from distributed sources, and to pursue other ...
The ability to efficiently discover information using partial knowledge (for example keywords, attributes or ranges) is important in large, decentralized, resource sharing distri...