The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Application-level scheduling on distributed heterogeneous networks
Supercomputing '96 Proceedings of the 1996 ACM/IEEE conference on Supercomputing
The AppLeS parameter sweep template: user-level middleware for the grid
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
A decoupled scheduling approach for the GrADS program development environment
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
Using Apples to Schedule Simple SARA on the Computational Grid
International Journal of High Performance Computing Applications
The GrADS Project: Software Support for High-Level Grid Application Development
International Journal of High Performance Computing Applications
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Grid computing is emerging as a new paradigm for solving large-scale problems and is becoming an established technology for providing transparent access to large-scale distributed computational resources. Resource allocation and application scheduling are two of the most important aspects of Grid computing. In general, a grid application also requires datasets that may not be available at the local computing site where the application has to be executed, and hence in this case the required data has to be fetched before running the application. In this paper, we tackle with the local scheduling problem by means of a rectangle packing model combined with different policies for dataset scheduling, with the aim of maximizing the system efficiency.