We propose a model for describing the parallel performance of multigrid software on distributed memory architectures. The goal of the model is to allow reliable predictions to be m...
Effective task scheduling and deployment is hard to achieve in a Grid environment, where computing resources are heterogamous and shared between local and Grid users without a cen...
— Over the years, the use of global grid environments have become widespread. In order to make applications robust against the dynamics of those grid environments it is essential...
We present an adaptive compression environment (ACE) that uses both underlying resource performance (network and CPU) predictions and the compressibility of the data stream to per...
Enterprise Grid enables sharing and aggregation of a set of computing or storage resources connected by enterprise network, but the availability of the resources in this environme...