Abstract
Computational Grids (CGs) are nowadays successfully responding to increasing needs for high computation power. A key issue in CGs is the scheduling, which demands for efficient methods. In this work, we consider the scheduling problem in immediate mode, in which jobs are allocated as soon as they arrive in the system. This type of scheduling arises in many grid-based applications, especially, in real-time applications. We have implemented five immediate scheduling methods and have measured their performance with respect to four parameters: makespan, flowtime, resource utilisation and matching proximity by using a simulation benchmark for heterogeneous distributed systems. The computational results showed the performance of the immediate scheduling methods and allowed us to evaluate the advantages of these methods if we knew in advance certain grid characteristics (consistency of computing, heterogeneity of jobs and resources). The usefulness of the presented methods in web and grid scheduling services is also discussed.
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