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Subject: Computer Science
Title:
mapreduce framework optimization via performance modeling
Author: Xu Lijie
Source: Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012
Conference Name: 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012
Conference Date: May 21, 2012 - May 25, 2012
Issued Date: 2012
Conference Place: Shanghai, China
Keyword: Data processing ; Distributed parameter networks ; Scheduling
Indexed Type: EI ; ISTP
ISSN: 2164-7062
ISBN: 9780769546766
Department: (1) Institute of Software Chinese Academy of Sciences China; (2) Graduate University Chinese Academy of Sciences China
Sponsorship: IEEE Computer Society Technical Committee on Parallel Processing
Abstract: MapReduce framework has become the state-of-the-art paradigm for large-scale data processing. In our ongoing work, we attempt to solve the three interrelated problems: how to build an accurate MapReduce performance model, how to use it to automatically detect and optimize slow-running MapReduce jobs, and how to use it to help scheduler arrange job execution sequence. Currently, we mainly study the job execution time model and its training method. We also present several policies to optimize the job configuration and scheduler. © 2012 IEEE.
English Abstract: MapReduce framework has become the state-of-the-art paradigm for large-scale data processing. In our ongoing work, we attempt to solve the three interrelated problems: how to build an accurate MapReduce performance model, how to use it to automatically detect and optimize slow-running MapReduce jobs, and how to use it to help scheduler arrange job execution sequence. Currently, we mainly study the job execution time model and its training method. We also present several policies to optimize the job configuration and scheduler. © 2012 IEEE.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/15782
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Xu Lijie. mapreduce framework optimization via performance modeling[C]. 见:2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012. Shanghai, China. May 21, 2012 - May 25, 2012.
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