Open Access   Article Go Back

A Comparative Study of Clustering Techniques Used in Cloud Computing to Minimize the Adverse Environmental Impact

Renuka Raj1 , Vivekanand 2 , Sohit Shukla3

  1. Dept. of Information Technology Rajkiya Engineering College, AmbedkarNagar.
  2. Dept. of Information Technology Rajkiya Engineering College, AmbedkarNagar.
  3. Dept. of Information Technology Rajkiya Engineering College, AmbedkarNagar.

Section:Review Paper, Product Type: Journal Paper
Volume-6 , Issue-5 , Page no. 857-860, May-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i5.857860

Online published on May 31, 2018

Copyright © Renuka Raj, Vivekanand, Sohit Shukla . 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.

View this paper at   Google Scholar | DPI Digital Library

XML View
PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Renuka Raj, Vivekanand, Sohit Shukla, “A Comparative Study of Clustering Techniques Used in Cloud Computing to Minimize the Adverse Environmental Impact,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.5, pp.857-860, 2018.

MLA Style Citation: Renuka Raj, Vivekanand, Sohit Shukla "A Comparative Study of Clustering Techniques Used in Cloud Computing to Minimize the Adverse Environmental Impact." International Journal of Computer Sciences and Engineering 6.5 (2018): 857-860.

APA Style Citation: Renuka Raj, Vivekanand, Sohit Shukla, (2018). A Comparative Study of Clustering Techniques Used in Cloud Computing to Minimize the Adverse Environmental Impact. International Journal of Computer Sciences and Engineering, 6(5), 857-860.

BibTex Style Citation:
@article{Raj_2018,
author = {Renuka Raj, Vivekanand, Sohit Shukla},
title = {A Comparative Study of Clustering Techniques Used in Cloud Computing to Minimize the Adverse Environmental Impact},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {6},
Issue = {5},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {857-860},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2078},
doi = {https://doi.org/10.26438/ijcse/v6i5.857860}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i5.857860}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2078
TI - A Comparative Study of Clustering Techniques Used in Cloud Computing to Minimize the Adverse Environmental Impact
T2 - International Journal of Computer Sciences and Engineering
AU - Renuka Raj, Vivekanand, Sohit Shukla
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 857-860
IS - 5
VL - 6
SN - 2347-2693
ER -

VIEWS PDF XML
559 325 downloads 174 downloads
  
  
           

Abstract

Cloud Computing is a computing paradigm where various tasks are assigned to a combination of connections, software and services that can be accessed by the user over a network. The research paper aims to reach a theoretical notion of sustainable development with proposing an incentive for reducing global warming through effective clustering techniques and methods. This paper is a comparative study on k-means clustering, map-reduce technique and resource clustering used in cloud computing. The focus of the paper is to suggest better methodology for handling the events of cloud computing and possibly reducing the similar types of events by clustering them. This approach might lead to the reduction of carbon-dioxide gas (which is a greenhouse gas) by less usage of servers in cloud data centers. With the advent of IT services in cloud computing energy consumption it is necessary for the developing technology to progress towards sustainable development rather thrashing and harnessing energy from every possible means.

Key-Words / Index Term

Cloud Computing, Clustering, Cloud Data centers, Clustering Algorithms, K-Means Clustering, Map-Reduce, Resource Identification and Clustering

References

[1.] K. Birman, “Networks and Cloud”, CS5412 Spring (Cloud Computing: Birman), 2015.
[2.] R. K. Trivedi, R. Sharma, “Case Study on Environmental Impact of Cloud Computing”, IOSR-JCE e-ISSN: 2278-0661, p-ISSN: 2278-8727 Volume 16, Issue 2, Ver. VI, PP 81-86, 2014.
[3.] M. Arif, T. Mahmood, “Cloud Computing and its Environmental Effects”, International Journal of Grid Distribution Computing Vol.8, No.1, pp.279-286, 2015.
[4.] A. More, P. Kanungo, "Use of Cloud Computing for Implementation of e-Governance Services", International Journal of Scientific Research in Computer Science and Engineering, Vol.5, Issue.3, pp.115-118, 2017.
[5.] Y. G. Patil, P. S. Deshmukh, "A Review: Mobile Cloud Computing: Its Challenges and Security", Vol.06, Issue.01, pp.11-13, 2018.
[6.] M. K. Saggi, A. S. Bhatia, “A Review on Mobile Cloud Computing: Issues, Challenges and Solutions”, International Journal of Advanced Research in Computer and Communication Engineering, 2015.
[7.] R. V. Dharmadhikari, S. S. Turambekar, S. C. Dolli, P K Akulwar, "Cloud Computing: Data Storage Protocols and Security Techniques", International Journal of Scientific Research in Computer Science and Engineering, Vol.6, Issue.2, pp.113-118, 2018.
[8.] M. Gattulli, M. Tornatore, R. Fiandra, A. Pattavina, “Low- Carbon Routing Algorithms for Cloud Computing Services in IP-over-WDM Networks”, IEEE ICC Optical Network and Systems, 2012.
[9.] Malathy, G. R. Somasundaram, K. Duraiswamy, “Performance Improvement in Cloud Computing Using Resource Clustering”, Journal of Computer Science 9 (6): 671-677, ISSN: 1549-3636, 2013.
[10.] D.K. Sharma, S.K. Dhurandher, A. Kumar, A. Kumar, A.K. Jha, “Cloud Computing based Routing Protocol for Infrastructure-based Opportunistic Networks”, CAITFS Division of Information Technology, 2016.
[11.] S.N. Bushra, A.C. Sekar, “An Efficient Clustering Method for Incremental Cloud Data”, IJARCSSE ISSN: 2277128X, 2014.
[12.] E. Sarkar, C.H Sekhar, “Organizing Data in Cloud using Clustering Approach”, International Journal of Scientific & Engineering Research, Volume 5, Issue 5, 2014.
[13.] I. Singh, P. Dwivedi, T. Gupta, P. G. Shynu, “Enhanced K-means clustering with encryption on cloud”, IOP Conf. Series: Materials Science and Engineering 263, 042057, 14th ICSET, 2017.
[14.] S.Y Kim, J. Bottleson, J. Jin, P. Bindu, S.C. Sakhare, J.S Spisak, “Power Efficient Map Reduce Workload Acceleration using Integrated GPU”, IEEE First International Conference on Big Data Computing Service and Applications, 2015.