MapReduce application profiler

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationAdvanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013
PublisherSpringer Verlag
Pages741-749
Number of pages9
ISBN (Print)9789400772618
DOIs
Publication statusPublished - 2014 Jan 1
EventAdvanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013 - , Taiwan
Duration: 2013 Aug 232013 Aug 25

Publication series

NameLecture Notes in Electrical Engineering
Volume260 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

OtherAdvanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013
CountryTaiwan
Period13-08-2313-08-25

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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