Quantitative system performance: computer system analysis using queueing network models
Quantitative system performance: computer system analysis using queueing network models
Condor-G: A Computation Management Agent for Multi-Institutional Grids
Cluster Computing
Effective File-I/O Bandwidth Benchmark
Euro-Par '00 Proceedings from the 6th International Euro-Par Conference on Parallel Processing
Reproducible Measurements of MPI Performance Characteristics
Proceedings of the 6th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
A framework for adaptive execution in grids
Software—Practice & Experience
The portable batch scheduler and the maui scheduler on linux clusters
ALS'00 Proceedings of the 4th annual Linux Showcase & Conference - Volume 4
GridBench: A tool for the interactive performance exploration of Grid infrastructures
Journal of Parallel and Distributed Computing
Job-resource matchmaking on Grid through two-level benchmarking
Future Generation Computer Systems
Comparison of resource platform selection approaches for scientific workflows
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Quantitative system evaluation with Java modeling tools
Proceedings of the 2nd ACM/SPEC International Conference on Performance engineering
Parallel isosurface extraction for 3D data analysis workflows in distributed environments
Concurrency and Computation: Practice & Experience
Link repair in managed multi-domain connections with end-to-end quality guarantees
International Journal of Network Management
Hi-index | 0.00 |
The allocation of resources to jobs running on e-Science infrastructures is a key issue for scientific communities. In order to provide a better efficiency of computational jobs we propose an SLA-aware architecture. The core of this architecture is a scheduler relying on resource performance information. For performance characterization we propose a two-level benchmark that includes tests corresponding to specific e-Science applications. In order to evaluate the proposal we present simulation results for the proposed architecture.