The metaPL approach to the performance analysis of distributed software systems
WOSP '02 Proceedings of the 3rd international workshop on Software and performance
Simulation Based HPC Workload Analysis
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Computational grids in action: the national fusion collaboratory
Future Generation Computer Systems - Grid computing: Towards a new computing infrastructure
Scheduling Distributed Applications: the SimGrid Simulation Framework
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
A Performance Evaluation Model for Effective Job Scheduling in Global Computing Systems
HPDC '98 Proceedings of the 7th IEEE International Symposium on High Performance Distributed Computing
CLADE '04 Proceedings of the 2nd International Workshop on Challenges of Large Applications in Distributed Environments
Future Generation Computer Systems
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
A Simulation-Based Framework for Autonomic Web Services
ICPADS '05 Proceedings of the 11th International Conference on Parallel and Distributed Systems - Workshops - Volume 02
An autonomic tool for building self-organizing Grid-enabled applications
Future Generation Computer Systems
Editorial: Special section: Applications of distributed and grid computing
Future Generation Computer Systems
Self-optimizing MPI applications: a simulation-based approach
HPCC'05 Proceedings of the First international conference on High Performance Computing and Communications
Performance oriented development and tuning of GRID applications
PARA'04 Proceedings of the 7th international conference on Applied Parallel Computing: state of the Art in Scientific Computing
Hi-index | 0.00 |
This paper deals with the performance optimization of multiple-task applications in GRID environments. Typically such applications are launched by a Resource Manager, which only takes into account the application's resource requirements and current availability on the GRID. Here a novel approach is presented, that performs resource management in user space, making it possible to exploit application modularity and flexibility and to take into account expected performance figures produced by GRID simulation. The objective is to make optimized choices that can lead to reduced application response times. After an introduction to the GRID simulation environment used, the structure of an application launcher able to optimize a number of application tasks and their mapping on the GRID is sketched, presenting the encouraging performance results obtained.