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Title: Prediction Based Dynamic Load Balancing Techniques in Heterogeneous Clusters
Authors: Chandra, Pushpendra Kumar
Sahoo, Bibhudatta
Keywords: Heterogeneous cluster
I/O intensive load
Load balancing
Issue Date: 2008
Publisher: National University, San Diego California
Citation: Proceedings of the International Computer Science and Technology Conference ,San Diego, California 31 March - 03 April 2008, P 189-192
Abstract: The goal of load balancing is to assigns 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. In this paper we present a load balancing techniques that can deal with applications with heterogeneous cluster. Here we are considering three type of load I/O, CPU, MEMORY. For efficient load balancing we are proposed a new techniques that reduce the average response time .For that we are using the prediction scheme that predict the requirement of task and then according to prediction scheme this techniques assign the task to best suitable node.
Description: Copyright for the article belongs to Proceedings publisher
Appears in Collections:Conference Papers

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