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Cost Effective PSO Model for MapReduce in Cloud Environment

Vidhyasagar B S1 , Ajithkumar M2 , Shaik Sajid3 , Syed Khadeer4 , Rahul P5 , J. Arunnehru6

  1. Dept. of CSE, SRM Institute of Science and Technology, Chennai, India.
  2. Dept. of CSE, SRM Institute of Science and Technology, Chennai, India.
  3. Dept. of CSE, SRM Institute of Science and Technology, Chennai, India.
  4. Dept. of CSE, SRM Institute of Science and Technology, Chennai, India.
  5. Dept. of CSE, SRM Institute of Science and Technology, Chennai, India.
  6. Dept. of CSE, SRM Institute of Science and Technology, Chennai, India.

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-4 , Page no. 497-501, Apr-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i4.497501

Online published on Apr 30, 2018

Copyright © Vidhyasagar B S, Ajithkumar M, Shaik Sajid, Syed Khadeer , Rahul P, J. Arunnehru . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Vidhyasagar B S, Ajithkumar M, Shaik Sajid, Syed Khadeer , Rahul P, J. Arunnehru, “Cost Effective PSO Model for MapReduce in Cloud Environment,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.4, pp.497-501, 2018.

MLA Style Citation: Vidhyasagar B S, Ajithkumar M, Shaik Sajid, Syed Khadeer , Rahul P, J. Arunnehru "Cost Effective PSO Model for MapReduce in Cloud Environment." International Journal of Computer Sciences and Engineering 6.4 (2018): 497-501.

APA Style Citation: Vidhyasagar B S, Ajithkumar M, Shaik Sajid, Syed Khadeer , Rahul P, J. Arunnehru, (2018). Cost Effective PSO Model for MapReduce in Cloud Environment. International Journal of Computer Sciences and Engineering, 6(4), 497-501.

BibTex Style Citation:
@article{S_2018,
author = {Vidhyasagar B S, Ajithkumar M, Shaik Sajid, Syed Khadeer , Rahul P, J. Arunnehru},
title = {Cost Effective PSO Model for MapReduce in Cloud Environment},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2018},
volume = {6},
Issue = {4},
month = {4},
year = {2018},
issn = {2347-2693},
pages = {497-501},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1927},
doi = {https://doi.org/10.26438/ijcse/v6i4.497501}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i4.497501}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1927
TI - Cost Effective PSO Model for MapReduce in Cloud Environment
T2 - International Journal of Computer Sciences and Engineering
AU - Vidhyasagar B S, Ajithkumar M, Shaik Sajid, Syed Khadeer , Rahul P, J. Arunnehru
PY - 2018
DA - 2018/04/30
PB - IJCSE, Indore, INDIA
SP - 497-501
IS - 4
VL - 6
SN - 2347-2693
ER -

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Abstract

Cloud service provides everything as a service over the Internet or Intranet. Provisioning and allocation of virtual resource over the network requests based on used demand (pay-as-you-go). Big Data, which has large set of data that are so voluminous and complex that traditional method is not enough to process the data, Hadoop MapReduce framework is used to process the large set of data in a distributed manner. Efficient slave nodes selection is difficult to setup Hadoop cluster in cloud environment which led to more cost. We have proposed an algorithm called Particle Swarm Optimization(PSO) that determines the optimal number of nodes in the Hadoop cluster utilizes based on the data sets which provides efficient job execution on minimal set of DataNodes in cloud environment.

Key-Words / Index Term

Hadoop, MapReduce, Virtualization, PSO,YARN, HDFS

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