MapReduce application profiler

Tzu Chi Huang, Kuo Chih Chu, Chui Ming Chiu, Ce-Kuen Shieh

研究成果: Conference contribution

摘要

MapReduce is a programming model popularized by Google to process large data in clusters and has become a key technology on cloud computing nowadays. Due to the feature of simplicity, MapReduce attracts many application developers to develop related applications. However, MapReduce currently has few solutions to help application developers with the tasks of profiling their applications. In this paper, MapReduce Application Profiler (MRAP) is proposed to facilitate profiling MapReduce applications in clusters.

原文English
主出版物標題Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013
發行者Springer Verlag
頁面741-749
頁數9
ISBN(列印)9789400772618
DOIs
出版狀態Published - 2014 一月 1
事件Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013 - , Taiwan
持續時間: 2013 八月 232013 八月 25

出版系列

名字Lecture Notes in Electrical Engineering
260 LNEE
ISSN(列印)1876-1100
ISSN(電子)1876-1119

Other

OtherAdvanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013
國家Taiwan
期間13-08-2313-08-25

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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  • 引用此

    Huang, T. C., Chu, K. C., Chiu, C. M., & Shieh, C-K. (2014). MapReduce application profiler. 於 Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013 (頁 741-749). (Lecture Notes in Electrical Engineering; 卷 260 LNEE). Springer Verlag. https://doi.org/10.1007/978-94-007-7262-5_84