Map Reduce Performance Evaluation: A Step Towards Big Data Optimization
Volume 15 Issue 1 2021
Download| Author(s): | Shabir Ahmad , Shafiq Hussain,Zainab Safdar , Mohib Ullah Khan , Muhammad Amin Abid , Hadiz Tariq Masood , Tayyab Ali Raza |
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| 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 efficiency 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 different models relating to the performance evaluation of MapReduce processing. |
| Keywords | Big Data, MapReduce, Assessment Model, KOALA, Cross-Layer. |
| Year | 2021 |
| Volume | 15 |
| Issue | 1 |
| Type | Research paper, manuscript, article |
| Journal Name | Journal of Information & Communication Technology | Publisher Name | ILMA University | Jel Classification | - | DOI | - | ISSN no (E, Electronic) | 2075-7239 | ISSN no (P, Print) | 2415-0169 | Country | Pakistan | City | Karachi | Institution Type | University | Journal Type | Open Access | Manuscript Processing | Blind Peer Reviewed | Format | Paper Link | https://jict.ilmauniversity.edu.pk/journal/jict/15.1/1.pdf | Page | 1-6 |