Efficiency of resource brokering in grids for high-energy physics computing

This paper presents a study of the efficiency of resource brokering in a computational grid constructed for CPU and data intensive scientific analysis. Real data is extracted from the logging records of an in-use resource broker relating to the running of Monte Carlo simulation jobs, and compared to...

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Bibliographic Details
Published in:IEEE transactions on nuclear science 2004-06, Vol.51 (3), p.884-891
Main Authors: Crosby, P., Colling, D., Waters, D.
Format: Article
Language:English
Subjects:
Computation
Computational grids
Computer simulation
Data analysis
Delay
Europe
Grid computing
Information services
Large-scale systems
Middleware
Monte Carlo methods
Physics computing
Resource management
Resource scheduling
Running
Scheduling
Testing
Water resources
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Summary:This paper presents a study of the efficiency of resource brokering in a computational grid constructed for CPU and data intensive scientific analysis. Real data is extracted from the logging records of an in-use resource broker relating to the running of Monte Carlo simulation jobs, and compared to detailed modeling of job processing in a grid system. This analysis uses performance indicators relating to how efficiently the jobs are run, as well as how effectively the available computational resources are being utilized. In the case of a heavily loaded grid, the delays incurred at different stages of brokering and scheduling are studied, in order to determine where the bottlenecks appear in this process. The performance of different grid setups is tested, for instance, homogeneous and heterogeneous resource distribution, and varying numbers of resource brokers. The importance of the speed of the grid information services (IS) is also investigated.
ISSN:0018-9499
1558-1578
DOI:10.1109/TNS.2004.829575