چکیده (انگلیسی):

One of the main challenges in Grid computing is efficient allocation of resources (CPU-hours, network
bandwidth) to the tasks submitted by users. In our previous work a technique to allocate resources in a grid
environment using predicted data has been proposed. We propose utilization of the predicted data the
resources were classified into three types; they are permanent resources, semi-permanent and sporadic
resources. These types of resources may become available for a time that is either higher than the dwelling
time or lower than the dwelling time in a grid environment. As the nature features are not known in such
classification and then allocation mechanism, the performance cannot be increased further. In order to avoid
such problem, in this study, a prediction model and an allocation factor are introduced. These parameters
are determined for the sporadic type and semi-permanent type of resources and they are used in the fuzzybased
resource allocation mechanism. The incorporation of these parameters in the resource allocation leads
to a remarkable resource utilization rate and makespan. This can be observed from the simulation and
comparative results. From the results, it can be said that the proposed resource allocation mechanism has
proved the performance in a dynamic environment.