Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/819
Title: | Modeling and Analysis to Estimate the Performance of Heterogeneous Cluster |
Authors: | Chandra, Pushpendra Kumar Sahoo, Bibhudatta Jena, S K |
Keywords: | Heterogeneous cluster I/O-intensive task Load balancing |
Issue Date: | 2009 |
Publisher: | IE, India |
Citation: | 50th Technical Review of Institution of Engineers, Orissa State Centre, pp. 113-118, 2009 |
Abstract: | 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 highperformance 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 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. |
Description: | Copyright for the paper belongs to IE |
URI: | http://hdl.handle.net/2080/819 |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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IE_ORISSA_BIBHU_2008-1.pdf | 125.04 kB | Adobe PDF | View/Open |
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