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http://hdl.handle.net/2080/622
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| Title: | A Novel Load Balancing Algorithm for I/O-intensive Load in Heterogeneous Cluster |
| Authors: | Chandra, Pushpendra Kumar Sahoo, Bibhudatta |
| Issue Date: | 2008 |
| Citation: | Proceedings of the 1st International Conference on Advances in Computing, Chikhli, India, 21-22 February 2008, P 1-4 |
| Abstract: | Load balancing techniques play a very important role in
developing high-performance cluster computing platforms. Many
load balancing polices achieve high system performance by
increasing the utilization of CPU, memory, or a combination of
CPU and memory. However, these load-balancing policies are
less effective when the workload comprises of a large number of
I/O-intensive tasks and I/O resources exhibit imbalanced load.
The I/O intensive tasks running on a heterogeneous cluster needs
effective usage of global I/O resources. We have proposed a loadbalancing
scheme based upon system heterogeneity and migrate
I/O-intensive tasks from with heavily loaded nodes to under
loaded nodes. The proposed load balancing scheme can minimizes
the average slow down of all parallel jobs running on a cluster and
reduces the average response time of the jobs. |
| Description: | Copyright for the article belongs to Proceedings publisher |
| URI: | http://hdl.handle.net/2080/622 |
| Appears in Collections: | Conference Papers
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