Affiliations: [a] Department of Computer Science, Federal University Lafia, Lafia, Nasarawa State, Nigeria | [b] Department of Electrical Engineering, University of Southern California, Los Angeles, USA | [c] Department of Mathematics, Ahmadu Bello University, Zaria-Nigeria
Correspondence:
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Corresponding author: Absalom E. Ezugwu, Department of Computer Science, Federal University Lafia, Lafia, Nasarawa State, Nigeria. E-mail:ezugwu.absalom@fulafia.edu.ng
Abstract: An important factor that needs to be considered by every
Grid application end-user and systems (such as schedulers or mediators),
during Grid resource selection and mapping to applications, is the
performance capacity of hardware resources attached to the Grid, and made
available through its Virtual Organizations. In this paper, we represent the
performance of a computational Grid as a regression model that can be used
to fine-tune the selection of suitable Grid resources. A study on the
performance of distributed systems with respect to particular variations in
parameters is presented. Our objective is to use a measurement-based
evaluation technique to characterize the specific performance contribution
of the individual Grid resource configurations. In the process, we identify
the key primary parameters (or factors) that should be considered when
selecting and allocating a computational node for user application
execution.
