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All Journal International Journal of Electrical and Computer Engineering
Anwar H. Katrawi
Universiti Sains Malaysia
Computer Science & IT Electrical & Electronics Engineering

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Earlier stage for straggler detection and handling using combined CPU test and LATE methodology Anwar H. Katrawi; Rosni Abdullah; Mohammed Anbar; Ammar Kamal Abasi
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 5: October 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (650.355 KB) | DOI: 10.11591/ijece.v10i5.pp4910-4917

Abstract

Using MapReduce in Hadoop helps in lowering the execution time and power consumption for large scale data. However, there can be a delay in job processing in circumstances where tasks are assigned to bad or congested machines called "straggler tasks"; which increases the time, power consumptions and therefore increasing the costs and leading to a poor performance of computing systems. This research proposes a hybrid MapReduce framework referred to as the combinatory late-machine (CLM) framework. Implementation of this framework will facilitate early and timely detection and identification of stragglers thereby facilitating prompt appropriate and effective actions.
Co-Authors Ammar Kamal Abasi Mohammed Anbar Rosni Abdullah