A security architecture for computational grids
CCS '98 Proceedings of the 5th ACM conference on Computer and communications security
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Managing security in high-performance distributed computations
Cluster Computing
A Resource Management Architecture for Metacomputing Systems
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Emerging Technologies for MultiCluster/Grid Computing
CLUSTER '01 Proceedings of the 3rd IEEE International Conference on Cluster Computing
The Globus Project: A Status Report
HCW '98 Proceedings of the Seventh Heterogeneous Computing Workshop
Implementing Distributed Synthetic Forces Simulations in Metacomputing Environments
HCW '98 Proceedings of the Seventh Heterogeneous Computing Workshop
An Enhanced Scheduling Approach in a Distributed Parallel Environment Using Mobile Agents
HPCS '02 Proceedings of the 16th Annual International Symposium on High Performance Computing Systems and Applications
A Directory Service for Configuring High-Performance Distributed Computations
HPDC '97 Proceedings of the 6th IEEE International Symposium on High Performance Distributed Computing
A Fault Detection Service for Wide Area Distributed Computations
HPDC '98 Proceedings of the 7th IEEE International Symposium on High Performance Distributed Computing
Application Experiences with the Globus Toolkit
HPDC '98 Proceedings of the 7th IEEE International Symposium on High Performance Distributed Computing
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In this article we present a case study comparison of the implementation characteristics of two software environments that are well known in grid computing configurations. We evaluate the performance of these environments during the execution of distributed parallel MPI tasks. Therefore, first we consider some concepts of the grid paradigm and then we present a comparison between the two software environments. Our case study is based on the Globus and Legion environments, because these two research projects are in more developed stage when compared to others research initiatives. Our experimental results indicate that the grid computing approach can be interesting to execute distributed parallel MPI applications with a performance improvement.