Presentation | 2013-01-25 Enhancing Hadoop Performance by Network-Aware Task Scheduling Shun KATAOKA, Hyuma WATANABE, Masatoshi KAWARASAKI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Hadoop uses MapReduce for distributed processing of large-scale data. Although a large amount of data transfer between Mappers and Reducers may be generated in a shuffle phase of the MapReduce processing, current Hadoop task-scheduling method allocates a task without taking this into account. As a result, job processing may be delayed because of the network bottleneck. In this paper, we investigate Hadoop data flow in detail and propose a new task-scheduling method that allocates a new task based on the observed amount of data transfer at each node. Job performance in the proposed task-scheduling method is evaluated in the real machine environment. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Hadoop / MapReduce / task scheduling / network / job performance |
Paper # | IN2012-152 |
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Committee | IN |
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Conference Date | 2013/1/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Information Networks (IN) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Enhancing Hadoop Performance by Network-Aware Task Scheduling |
Sub Title (in English) | |
Keyword(1) | Hadoop |
Keyword(2) | MapReduce |
Keyword(3) | task scheduling |
Keyword(4) | network |
Keyword(5) | job performance |
1st Author's Name | Shun KATAOKA |
1st Author's Affiliation | College of Media Arts, Science and Technology, University of Tsukuba() |
2nd Author's Name | Hyuma WATANABE |
2nd Author's Affiliation | Graduate School of Library, Information and Media Studies, University of Tsukuba |
3rd Author's Name | Masatoshi KAWARASAKI |
3rd Author's Affiliation | Graduate School of Library, Information and Media Studies, University of Tsukuba |
Date | 2013-01-25 |
Paper # | IN2012-152 |
Volume (vol) | vol.112 |
Number (no) | 393 |
Page | pp.pp.- |
#Pages | 6 |
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