Publication Type : Journal Article
Publisher : International Journal of Pure and Applied Mathematics
Source : International Journal of Pure and Applied Mathematics, Volume 118, Number 18, p.2545-2551 (2018)
Url : https://acadpubl.eu/jsi/2018-118-18/articles/18c/29.pdf
Campus : Coimbatore
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2018
Abstract : The word Heterogeneity signifies diversity and Heterogeneity of Hadoop cluster exists as nodes have different configuration and they are distributed in various geographical sites. In distributed environments, homogeneity and local access of data are not full filled. Therefore, performance reduction will happen in default Hadoop schedulers where the cluster nodes are heterogeneous. Because of highly robust nature of LATE Scheduler, it can be used to improve response time in heterogeneous environment by varying the number of Mappers and Reducers for each node. In this paper we have used variable number of Reducers and Mappers to improve the performance of Hadoop heterogeneous cluster.
Cite this Research Publication : Dr. Priyanka Kumar, S., V., and M., S., “Improving Late Scheduler and Result Analysis in Heterogeneous Environment”, International Journal of Pure and Applied Mathematics, vol. 118, pp. 2545-2551, 2018.