Use of a genetic algorithm in a distributed resource management software

2007 ◽  
Author(s):  
Rolf Dornberger ◽  
Lukas Frey ◽  
Claudia Schmid
Keyword(s):  
Genetic Algorithm ◽  
Resource Management ◽  
Management Software ◽  
Distributed Resource Management

scholarly journals Porting of Scientific Applications to Grid Computing on GridWay

2005 ◽  
Vol 13 (4) ◽  
pp. 317-331 ◽  
Author(s):  
J. Herrera ◽  
E. Huedo ◽  
R.S. Montero ◽  
I.M. Llorente
Keyword(s):  
Genetic Algorithm ◽  
Resource Management ◽  
Rapid Development ◽  
Management Systems ◽  
Scientific Applications ◽  
Grid Environment ◽  
Distributed Resource Management ◽  
Programming Paradigm ◽  
Bioinformatics Application ◽  
Management Application

The expansion and adoption of Grid technologies is prevented by the lack of a standard programming paradigm to port existing applications among different environments. The Distributed Resource Management Application API has been proposed to aid the rapid development and distribution of these applications across different Distributed Resource Management Systems. In this paper we describe an implementation of the DRMAA standard on a Globus-based testbed, and show its suitability to express typical scientific applications, like High-Throughput and Master-Worker applications. The DRMAA routines are supported by the functionality offered by the GridWay2framework, which provides the runtime mechanisms needed for transparently executing jobs on a dynamic Grid environment based on Globus. As cases of study, we consider the implementation with DRMAA of a bioinformatics application, a genetic algorithm and the NAS Grid Benchmarks.

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