An Empirical Proposition to Load Balancing Effectuate on AWS Hybrid Cloud

A.A. Ekre¹ , N.M. Nimbarte² , S.V. Balamwar³

Section:Research Paper, Product Type: Isroset-Journal
Vol.6 , Issue.4 , pp.9-17, Aug-2018

CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v6i4.917

Online published on Aug 31, 2018

Copyright © A.A. Ekre, N.M. Nimbarte, S.V. Balamwar . 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

578 Views    333 Downloads    201 Downloads

Abstract :
A proliferate demand of supply for communication systems in the current scenario are based on their performance and advancements in the field of technology paves a way for the cloud computing based services. The tractate cynosures counterpoise consignment over servers in a private cloud which is a small practical example of Big Data. As the number of computing devices increases in a network, Countervail freightage is an argumenta concern in Cloud Computing. To make the network merchandise equally balanced trim to provide hi speed connectivity of devices with effective resource utilization; several load balancing algorithms have been implemented wherein Round Robin Routing Algorithm seemed effective while hosting Applications over the web. Round Robin Routing Algorithm plays a vital role in balancing of Load over servers in a virtual network cluster. The hosting of Web Applications was done on private Cloud services offered by Amazon Web Services.

Key-Words / Index Term :
Cloud, Load Balancing, Virtual Network, Servers, Amazon Web Services, Elastic Cloud Compute, Instance, Resources, Web Applications, Virtual Machine, Amazon Elastic Map Reduce, Virtual Machine Monitor, Equal Spread Current Execution Algorithm, Service Level Agreement

References :
[1] A. Verma, S.K. Sharma, B. Kaur, “Comparative Analysis on Load Balancing Techniques in Cloud Computing”, Indian Journal of Science and Technology, Vol.9, No.11, 2016.
[2] A. Akusok, K.M. Bjork, Y. Miche, A. Lendasse, “High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications”, http://www.apache.org/licenses/, (accessed 23 February 2015).
[3] D.C. Devi and V.R. Uthariaraj, “Load Balancing in Cloud Computing Environment Using Improved Weighted Round Robin Algorithm for Nonpreemptive Dependent Tasks”, The Scientific World Journal, 2016.
[4] D. Saranya, L.S. Maheshwari, “Load Balancing Algorithms in Cloud Computing: A Review”, International Journal of Advanced Research in Computer Science and Software Engineering, Vol.5, No.7, 2015.
[5] D. Kashyap, J. Viradiya, “A Survey of Various Load Balancing Algorithms in Cloud Computing”, International Journal of Scientific & Technology Research, Vol.3, No.11, 2014.
[6] D.P. L, “Load Balancing Algorithms in Cloud Computing”, International Journal of Advanced Computing and Mathematical Sciences, Vol.4, No.3, pp.229-233, 2013.
[7] M. Katyal, A. Mishra, “A Comparative Study of Load Balancing Algorithms in Cloud Computing Environment’, www.publishingindia.com, Vol.1, No.2, 2013.
[8] Ms. NIKITA, “Comparative Analysis of Load Balancing Algorithms in Cloud Computing”, International Journal of Engineering and Science, Vol.1, No.1, 2014.
[9] N. Sran, N. Kaur, “Comparative Analysis of Existing Load Balancing Techniques in Cloud Computing”, International Journal of Engineering Science Invention, Vol.2, No.1, pp.60-63, 2013.
[10] N. Sran, N. Kaur, “Comparative Analysis of Existing Dynamic Load Balancing Techniques”, International Journal of Computer Applications, Vol.70, No.26, 2013.
[11] N. Pasha, A. Agarwal, R. Rastogi, “Round Robin Approach for VM Load Balancing Algorithm in Cloud Computing Environment”, International Journal of Advanced Research in Computer Science and Software Engineering, Vol.4, No.5, 2014.
[12] N. Haryani, D. Jagli, “Dynamic Method for Load Balancing in Cloud Computing”, IOSR Journal of Computer Engineering (IOSR-JCE), Vol.16, No.4, pp.23-28, 2014.
[13] R. Kaur, P. Luthra, “Load Balancing in Cloud Computing”, International Conference on Recent Trends in Information, Telecommunication and Computing, 2014.
[14] R. Gao, J. Wu, “Dynamic Load Balancing Strategy for Cloud Computing with Ant Colony Optimization”, Future Internet, Vol.7, pp.465-483, 2015.
[15] R. Panwar, “Comparative Study of Various Load Balancing Techniques in Cloud Computing”, International Journal of Engineering Research & Technology (IJERT), Vol.3, No.9, 2014.
[16] R. Panwar, B. Mallick, “A Comparative Study of Load Balancing Algorithms in Cloud Computing”, International journal of Computer Applications, Vol.117, No.24, 2015.
[17] R. Gupta, “Review on Existing Load Balancing Techniques of Cloud Computing”, International Journal of Advanced Research in Computer Science and Software Engineering, Vol.4, No.2, 2014.
[18] S. Lamba, D. Kumar, “A Comparative Study on Load Balancing Algorithms with Different Service Broker Policies in Cloud Computing”, International Journal of Computer Science and Information Technologies, Vol.5, No.4, 2014.
[19] S. Ray, A.D. Sarkar, “Execution Analysis of Load Balancing Algorithms in Cloud Computing Environment”, International Journal on Cloud Computing: Services and Architecture (IJCCSA), Vol.2, No.5, 2012.
[20] S. Kaur, S. Kinger, “Review on Load Balancing Techniques in Cloud Computing Environment”, International Journal of Science and Research (IJSR), Vol.3, No.6, 2012.