Extending the HPC-ICTM geographical categorization model for grid computing

Authors:
Rafael K. S. Silva;Marilton S. De Aguiar;César A. F. De Rose;Graçaliz P. Dimuro
Affiliations:
PPGCC, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil;PPGInf, Universidade Católica de Pelotas, Pelotas, Brazil;PPGCC, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil;PPGInf, Universidade Católica de Pelotas, Pelotas, Brazil
Venue:
PARA'06 Proceedings of the 8th international conference on Applied parallel computing: state of the art in scientific computing
Year:
2006

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Abstract

This paper presents the results obtained with an extension of the HPC-ICTM model for grid computing. The HPC-ICTM is a multi-layered interval tessellation-based model for the categorization of geographic regions for high performance computing. The ICTM model is executed as a Bag-of-Tasks on the OurGrid environment. For each layer, the categorizer process is applied separately, without communication between the layers. An analysis of the performance of the model is presented.