IOS Press Ebooks - A Task Scheduling Policy for Heterogeneous MapReduce Cluster
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A Task Scheduling Policy for Heterogeneous MapReduce Cluster
Chui-Ming Chiu, Sheng-Wei Huang, Tzu-Chi Huang, Ce-Kuen Shieh, Ming-Fong Tsai, Lien-Wu Chen
420 - 429
10.3233/978-1-61499-484-8-420
Frontiers in Artificial Intelligence and Applications
Volume 274: Intelligent Systems and Applications
Abstract

MapReduce is a programming model and its associated run-time system proposed in 2004, which can process large scale of data in clusters with simple program logic. MapReduce has a potential problem running on a cooperative cluster which is combined with machines having different configurations. The problem will cause unexpected performance degradations and should be avoided. In this paper, a task scheduling policy is proposed to take higher utilization of all computing nodes in heterogeneous clusters.

$35.00 / €27.50 / £22.00
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