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All Journal International Journal of Electrical and Computer Engineering Statistika International Journal on Emerging Mathematics Education
Rosni Abdullah
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mathematics

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Journal : International Journal of Electrical and Computer Engineering

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Straggler handling approaches in mapreduce framework: a comparative study Katrawi, Anwar H.; Abdullah, Rosni; Anbar, Mohammed; AlShourbaji, Ibrahim; Abasi, Ammar Kamal
International Journal of Electrical and Computer Engineering (IJECE) Vol 11, No 1: February 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v11i1.pp375-382

Abstract

The proliferation of information technology produces a huge amount of data called big data that cannot be processed by traditional database systems. These Various types of data come from different sources. However, stragglers are a major bottleneck in big data processing, and hence the early detection and accurate identification of stragglers can have important impacts on the performance of big data processing. This work aims to assess five stragglers identification methods: Hadoop native scheduler, LATE Scheduler, Mantri, MonTool, and Dolly. The performance of these techniques was evaluated based on three benchmarked methods: Sort, Grep and WordCount. The results show that the LATE Scheduler performs the best and it would be efficient to obtain better results for stragglers identification.
Co-Authors Aan Subhan Pamungkas Abasi, Ammar Kamal AlShourbaji, Ibrahim Anbar, Mohammed Anne Porter, Anne Katrawi, Anwar H. Maman Fathurrohman, Maman Rusdi Md. Aminuddin Suhaidi Hassan Supriyanto Supriyanto Worthy, Annette