Data driven infrastructure and policy selection to enhance scientific applications in grid

  • Authors:
  • Jose M. Perez;Felix Garcia;Jesus Carretero;Jose D. Garcia;Soledad Escolar

  • Affiliations:
  • Computer Architecture Group, Department of Computer Science, University Carlos III de Madrid, Spain;Computer Architecture Group, Department of Computer Science, University Carlos III de Madrid, Spain;Computer Architecture Group, Department of Computer Science, University Carlos III de Madrid, Spain;Computer Architecture Group, Department of Computer Science, University Carlos III de Madrid, Spain;Computer Architecture Group, Department of Computer Science, University Carlos III de Madrid, Spain

  • Venue:
  • SAG'04 Proceedings of the First international conference on Scientific Applications of Grid Computing
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

Most works on Grids have taken an approach where the system is a mixture of clusters and other resources put together with the help of some services. But this solution is a simplistic one that tries to grow from the cluster perspective. We think that the Grid model should be different and near to the p2p model, especially in the I/O field where the network and the heterogeneity of the infrastructure play an important role. In this paper we present a model to organize the DataGrid Infrastructure using concepts as data phases and a p2p approach, in order to select the adequate working policies. These concepts allow the definition of a clearer model for our DataGrid Architecture than a mixture of resources. We present a model relying on the former concepts, their implementation in an I/O middleware for Grids, called GridExpand, and the evaluation of some of the concepts presented.