Name
Abstract | ||
|---|---|---|
Due to the rapid technological advancements, the Grid computing has emerged as a new field, distinguished from conventional distributed computing. The load balancing is considered to be very important in Grid systems. In this paper, we propose a new dynamic and distributed load balancing method called "Enhanced GridSim with Load Balancing based on Cost Estimation" (EGCE) for computational Grid with heterogeneous resources. The proposed algorithm EGCE is an improved version of the existing EGDC in which we perform load balancing by estimating the expected finish time of a job on resources on each job arrival and then balance the load by migrating jobs to resources by taking into account the resource heterogeneity and network heterogeneity. We simulate the proposed algorithm on the GridSim platform. From the results, our algorithm is shown to be quite efficient in minimizing the average response time. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/ICIT.2016.027 | 2016 International Conference on Information Technology (ICIT) |
Keywords | Field | DocType |
Load Balancing,GridSim,Average Response Time,Gridlet | Load management,Grid computing,Scheduling (computing),Load balancing (computing),Computer science,Response time,Cost estimate,Real-time computing,Grid system,Grid,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-5090-3585-4 | 0 | 0.34 |
References | Authors | |
6 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Deepak Kumar Patel | 1 | 0 | 0.34 |
| C. R. Tripathy | 2 | 24 | 4.59 |