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Dynamic load distribution algorithm performance in heterogeneous distributed system for I/O- intensive task

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2 Author(s)
Chandra, P.K. ; Dept. of CSE, Nat. Inst. of Technol., Rourkela ; Sahoo, B.

The goal of load balancing is to assign to each node a number of tasks proportional to its performance. Many load balancers have been proposed that deal with applications with homogeneous tasks; but, applications with heterogeneous tasks have proven to be far more complex to handle. 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 load-balancing scheme based upon system heterogeneity and migrate I/O-intensive tasks to the fastest processor. 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.

Published in:

TENCON 2008 - 2008 IEEE Region 10 Conference

Date of Conference:

19-21 Nov. 2008