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Implementation and Analysis of Replicated Agent Based Load Balancing In Cloud Computing

P. Kaur1 , S. Majithia2

Section:Research Paper, Product Type: Journal Paper
Volume-2 , Issue-8 , Page no. 21-27, Aug-2014

Online published on Aug 31, 2014

Copyright © P. Kaur, S. Majithia . 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: P. Kaur, S. Majithia, “Implementation and Analysis of Replicated Agent Based Load Balancing In Cloud Computing,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.8, pp.21-27, 2014.

MLA Style Citation: P. Kaur, S. Majithia "Implementation and Analysis of Replicated Agent Based Load Balancing In Cloud Computing." International Journal of Computer Sciences and Engineering 2.8 (2014): 21-27.

APA Style Citation: P. Kaur, S. Majithia, (2014). Implementation and Analysis of Replicated Agent Based Load Balancing In Cloud Computing. International Journal of Computer Sciences and Engineering, 2(8), 21-27.

BibTex Style Citation:
@article{Kaur_2014,
author = {P. Kaur, S. Majithia},
title = {Implementation and Analysis of Replicated Agent Based Load Balancing In Cloud Computing},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2014},
volume = {2},
Issue = {8},
month = {8},
year = {2014},
issn = {2347-2693},
pages = {21-27},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=220},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=220
TI - Implementation and Analysis of Replicated Agent Based Load Balancing In Cloud Computing
T2 - International Journal of Computer Sciences and Engineering
AU - P. Kaur, S. Majithia
PY - 2014
DA - 2014/08/31
PB - IJCSE, Indore, INDIA
SP - 21-27
IS - 8
VL - 2
SN - 2347-2693
ER -

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Abstract

Cloud computing is growing as a new paradigm of large-scale distributed computing. It is an agenda for permitting appropriate, on-demand network access to a shared pool of computing resources. Load balancing is the foremost challenges in cloud computing which is vital to distribute the dynamic amount of workload through multiple nodes to confirm that no single node is overwhelmed. Cloud computing is an innovative technology which practices virtual machine instead of physical machine to manage, store and network the different mechanisms. In different virtual machines load balancers are used for assigning load in such a way that none of the nodes gets loaded heavily or lightly. The research area in load balancing is becoming more interested in the cloud computing. And through better load balancing in cloud, the performance is increased and user gets improved services. Here in this paper we have discussed different load balancing techniques along with the proposed technique used to solve the issue of data migration and data security using P-AES.

Key-Words / Index Term

Cloud Computing, Virtual Machine Migration, Grid Computing, Load Balancing

References

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