SURVEY ON IMPROVE JOB PERFORMANCE USING MAPREDUCE IN HADOOP
| Author(s) | : | Yash K. Merja, Prof. Rupesh G. Vaishnav |
| Institution | : | M.E. [Computer Engineering], Darshan Institute of Engineering & Technology, Rajkot |
| Published In | : | Vol. 1, Issue 12 — December 2014 |
| Page No. | : | 37-41 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
— In recent years the different scheduling technique became a more attractive point mark to many researchers,but even though many achievement that have been made, then also still many trouble in this field. The main goal of thispaper is to provide a better understanding of scheduling technique in MapReduce and analyze very important researchdirections in this field. There are lots of key techniques in MapReduce to improve the job performance in open sourceplatform to choose as Hadoop. To address it, analyze and optimize the resource allocation in different aspect. Theperformance of Hadoop can be increased by proper resource management to the task in default scheduling te chnique. InHadoop a program called map reduce is used for gathering data according to query. As use Hadoop is used for largeamount of data therefore scheduling in Hadoop must be effective for better performance. So objective is to study andidentify various scheduling technique, which are used to maximize job performance in Hadoop.
Yash K. Merja, Prof. Rupesh G. Vaishnav, “SURVEY ON IMPROVE JOB PERFORMANCE USING MAPREDUCE IN HADOOP”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 1, Issue 12, pp. 37-41, December 2014.
