Application oriented brokering in medical imaging: algorithms and software architecture

Authors:
Mario Rosario Guarracino;Giuliano Laccetti;Almerico Murli
Affiliations:
Institute for High Performance Computing and Networking – Naples branch, National Research Council, Italy;Department of Mathematics and Applications, University of Naples Federico II, Naples, Italy;Institute for High Performance Computing and Networking – Naples branch, National Research Council, Italy
Venue:
EGC'05 Proceedings of the 2005 European conference on Advances in Grid Computing
Year:
2005

Citing 7
Cited 0

The AppLeS parameter sweep template: user-level middleware for the grid

Proceedings of the 2000 ACM/IEEE conference on Supercomputing
Overview of GridRPC: A Remote Procedure Call API for Grid Computing

GRID '02 Proceedings of the Third International Workshop on Grid Computing
A Resource Management Architecture for Metacomputing Systems

IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
A Metascheduler For The Grid

HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
MedIGrid: A Medical Imaging Application for Computational Grids

IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Condor-G: A Computation Management Agent for Multi-Institutional Grids

HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
GrADSolve: a grid-based RPC system for parallel computing with application-level scheduling

Journal of Parallel and Distributed Computing - Special issue on middleware

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes algorithms and software architecture of a resource broker designed in the context of MedIGrid, a medical imaging application for the management, visualization and reconstruction on grids of medical images produced by PET/SPECT medical instruments. The broker allows the discovery and selection of suitable clusters of workstations for the execution of parallel image reconstruction algorithms. The proposed algorithms and software architecture are general with respect to possible application domains and are potentially useful in different grid environments.