Implementation and performance evaluation of the parallel CORBA application on computational grids

  • Wang L
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The grid computing technology provides a new solution to high performance
distributed computing. Computational grids can provide dependable,
consistent, pervasive and inexpensive access to high-end computational
capabilities to meet requirements of high performance scientific
and engineering applications. Algorithme génétique 2-dimensionnel
(Ag2D) is an application for airfoil shape optimization. The application
is configured in the client-server architecture. Parallel genetic
algorithm is employed in the optimization process. In the implementation,
a collaborative computing environment, CAST, is used to define modules
and workflow of Ag2D application. Multiple modules of Ag2D are implemented
in parallel CORBA (PaCO) objects. Inside the PaCO object, Ag2D application
is implemented with message passage model. CORBA run-time system
works as the executing environment for Ag2D application. Unicore,
a grid middleware, functions to deploy various PaCO services, and
manage resources/tasks. Unicore thus takes the role of supporting
environment of Ag2D application. Test results and performance evaluation
justify the contributions - efficiently implement the parallel object
application on computational grids and exploit traditional parallel/distributed
programming models in grid environments. © 2007 Elsevier Ltd. All
rights reserved.

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  • L Wang

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