Map Reduce Performance Evaluation: A Step To- wards Big Data Optimization

Shabir Ahmad; Shafiq Hussain; Zainab Safdar; Mohib Ullah Khan; Muhammad Amin Abid; Hadiz Tariq Masood; Tayyab Ali Raza

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Map Reduce Performance Evaluation: A Step To- wards Big Data Optimization

Author(s)

Shabir Ahmad Department of Computer Science, Government College of Commerce,Multan,Pakistan

Shafiq Hussain Department of Computer Science, University of Sahiwal,Sahiwal,Pakistan

Zainab Safdar Department of Computer Science, University of Sahiwal,Sahiwal,Pakistan

Mohib Ullah Khan Department of Information Technology, Bahauddin Zakariya University,Multan,Pakistan

Muhammad Amin Abid Department of Chemistry, University of Sahiwal,Sahiwal,Pakistan

Hadiz Tariq Masood Department of Physics, University of Sahiwal,Sahiwal,Pakistan

Tayyab Ali Raza Department of Computer Science, Barani Institute of Sciences ARID University Rawalpindi,,Pakistan

Abstract

There is a remarkable growth in the volume of data processed every day. The revolution has taken us to the level where we are trying to find the technology suitable for the amount of data in pet bytes and zeta bytes. With the rapid change in the market, it has become a compulsion for the business to compete strategically. Decision support plays a vigorous part in this regard. The concern is that there is a dire need for sound technology to process an enormous amount of data and do it with eficiency and reliability. Performance optimization of MapReduce is critical because it leads us to the optimization of big data. Increasing the performance of MapReduce will lead us to an optimized state of big data. In this paper, we explore the performance problems associated with MapReduce's processing and review diferent models relating to the performance evaluation of MapReduce processing.

Publication Details

Page(s) 1-6

DOI DOI not available

Published Journal: Journal of Information & Communication Technology (JICT), Volume: 15, Issue: 1, Year: 2021

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Keywords

Big Data, KOALA, MapReduce, Cross-Layer, Assessment Model

References

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