Affiliations: [a] Department of Computer Science, Federal University 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 | [d] Department of Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
Correspondence:
[*]
Corresponding author: Absalom E. Ezugwu, Department of Computer Science, Federal University Lafia, Nasarawa, Nigeria. E-mail:[email protected]
Abstract: In this paper, we present a multiagent scheduling
framework for several classes of meta-applications (applications consisting
of multiple schedulable components). The scheduling of multiple interacting
components across multiple sites is a complex problem, especially when the
available resources and specifically network capacity are assumed to vary
between sites. This paper proposes a scheduling mechanism that uses routing
indices and intelligent agents in each node, to perform global scheduling in
a collaborative and coordinated manner. The scheduling mechanism was
implemented in a grid simulation environment that allows the incorporation
of intelligent agents. The behaviour of the proposed scheduling model was
analyzed and compared with three other scheduling algorithms, in terms of
selecting the best execution sites that is most appropriate for specific
application characteristics.
