Extending the HPC-ICTM Geographical Categorization Model for Grid Computing

摘要

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.