An Economic-based Resource Management and Scheduling for Grid Computing Applications

Computer Science – Distributed – Parallel – and Cluster Computing

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

International Journal of Computer Science Issues online at http://ijcsi.org/articles/An-Economic-based-Resource-Management-and

Scientific paper

Resource management and scheduling plays a crucial role in achieving high utilization of resources in grid computing environments. Due to heterogeneity of resources, scheduling an application is significantly complicated and challenging task in grid system. Most of the researches in this area are mainly focused on to improve the performance of the grid system. There were some allocation model has been proposed based on divisible load theory with different type of workloads and a single originating processor. In this paper we introduce a new resource allocation model with multiple load originating processors as an economic model. Solutions for an optimal allocation of fraction of loads to nodes obtained to minimize the cost of the grid users via linear programming approach. It is found that the resource allocation model can efficiently and effectively allocate workloads to proper resources. Experimental results showed that the proposed model obtained the better solution in terms of cost and time.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

An Economic-based Resource Management and Scheduling for Grid Computing Applications 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 An Economic-based Resource Management and Scheduling for Grid Computing Applications, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and An Economic-based Resource Management and Scheduling for Grid Computing Applications will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-325643

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.