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Analysis of Map Reduce Performance using Prefetching Mechanism
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 128 - Number 11 |
| Year of Publication: 2015 |
| Authors: Abhilasha Singh, Chetali Parve, Priyanka Tripathi |
10.5120/ijca2015906666
|
Abhilasha Singh, Chetali Parve, Priyanka Tripathi . Analysis of Map Reduce Performance using Prefetching Mechanism. International Journal of Computer Applications. 128, 11 ( October 2015), 11-13. DOI=10.5120/ijca2015906666
Abstract
In this massive technological atmosphere the number of information generated is increasing at an awfully high rate. Distributed storage system will be used for storing this immense quantity of information. Massive information will be handled by victimization hadoop and map reduces. The multiple node clusters will discover victimization the hadoop framework. Hadoop comes with default distributed file system that is hadoop distributed file system. The mapped is enforced by map technique and that we can see the performance of map reduce task on the bases of bytes written. The amount of bytes written by map task doesn't increase with the amount of files increasing. The explanation is that once the reduce function perform reduces the map output it simply combines the output of the map function. Thus so as to enhance the performance of map reduce task we are going to setup the cluster of nodes in heterogeneous atmosphere and analyze the behavior of map reduce task victimization the perfecting mechanism.
References
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