Name
Title | ||
|---|---|---|
Computing Field Scheduling: A Fully Decentralized Scheduling Approach for Grid Computing. |
Abstract | ||
|---|---|---|
Grid systems tend to grow in size, but currently deployed state-of-the-art schedulers have inherent scalability limits due to centralization. In this paper, we present a novel, fully decentralized scheduling approach for Grid Computing. The approach is inspired from the gravitational field in physics. In the approach, a task autonomously selects a suitable computing node based on local information without dedicated servers or coordinators. An important feature of the approach is that it schedules compute-intensive tasks so that the workload of Grid systems achieves balanced as soon as possible. From simulation results, the approach can scale to a large number of nodes and has a fast task convergence rate, maintaining high Grid utilization and good capability of balanced workload. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ChinaGrid.2011.19 | ChinaGrid |
Keywords | Field | DocType |
good capability,balanced workload,high grid utilization,grid computing,fast task convergence rate,grid system,task autonomously,decentralized scheduling approach,dedicated server,schedules compute-intensive task,computing field scheduling,scheduling,computer model,convergence rate,convergence,scalability,computational modeling,decentralized,physics | Convergence (routing),Grid computing,Workload,Scheduling (computing),Computer science,Server,Schedule,Grid,Scalability,Distributed computing | Conference |
Citations | PageRank | References |
3 | 0.49 | 10 |
Authors | ||
5 | ||