Minimize Execution latency in Hadoop using SVM

Jalpa Shah; Saket Swarndeep

Minimize Execution latency in Hadoop using SVM

April 2017

Vol-3, Issue-2

Paper ID: 4882

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Information Technology

Keywords

Hadoop Map Reduce SVM Effective data caching

Abstract

Hadoop is one of such type of database which stores the data in distributed manner in the cloud system. Data processing is done in terms of Jobs where client send data file to Master node which is consider as job and Master node assigns that jobs to slave node, but there may be currently no slave node is free or available to process the job at that time Master node checks its resources queue for next available node which can be used to assign job as the slave node gets frees. In Conventional approach, there is gap in case of effective caching of jobs data; also the best slave node for effective caching is not predicted in conventional approach which can be incorporated with the help of SVM algorithm in this work.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Jalpa Shah	L.J.I.E.T
2	Saket Swarndeep	L.J.I.E.T

How to Cite

Use the following formats to cite this article in your research.

APA Style

Shah, Jalpa & Swarndeep, Saket (2017). Minimize Execution latency in Hadoop using SVM. International Journal of Advance Research and Innovative Ideas In Education, 3(2), 4834-4838.

MLA Style

Shah, Jalpa, and Saket Swarndeep. "Minimize Execution latency in Hadoop using SVM." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, 2017, pp. 4834-4838.

IEEE Style

Jalpa Shah and Saket Swarndeep, "Minimize Execution latency in Hadoop using SVM," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, pp. 4834-4838, 2017.

Vancouver Style

Shah Jalpa, Swarndeep Saket. Minimize Execution latency in Hadoop using SVM. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(2):4834-4838.

Harvard Style

Shah, Jalpa & Swarndeep, Saket (2017) 'Minimize Execution latency in Hadoop using SVM', International Journal of Advance Research and Innovative Ideas In Education, 3(2), pp. 4834-4838.

Chicago Style

Shah, Jalpa and Saket Swarndeep. "Minimize Execution latency in Hadoop using SVM." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 4834-4838.

Turabian Style

Shah, Jalpa and Saket Swarndeep. "Minimize Execution latency in Hadoop using SVM." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 4834-4838.