Computer Science – Distributed – Parallel – and Cluster Computing
Scientific paper
2010-05-06
Computer Science
Distributed, Parallel, and Cluster Computing
IEEE Publication format, International Journal of Computer Science and Information Security, IJCSIS, Vol. 8 No. 1, April 2010,
Scientific paper
Computational Grid is enormous environments with heterogeneous resources and stable infrastructures among other Internet-based computing systems. However, the managing of resources in such systems has its special problems. Scheduler systems need to get last information about participant nodes from information centers for the purpose of firmly job scheduling. In this paper, we focus on online updating resource information centers with processed and provided data based on the assumed hierarchical model. A hybrid knowledge extraction method has been used to classifying grid nodes based on prediction of jobs' features. An affirmative point of this research is that scheduler systems don't waste extra time for getting up-to-date information of grid nodes. The experimental result shows the advantages of our approach compared to other conservative methods, especially due to its ability to predict the behavior of nodes based on comprehensive data tables on each node.
Abdullah Abdul Hanan
Bouyer Asgarali
hoseyni Mohammad Javad
No associations
LandOfFree
Improving Overhead Computation and pre-processing Time for Grid Scheduling System does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Improving Overhead Computation and pre-processing Time for Grid Scheduling System, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Improving Overhead Computation and pre-processing Time for Grid Scheduling System will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-25860