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Load Balancing of node in Network using Ant Colony Optimization

Vaishnavi Aher1 , Sayali Khairnar2 , Madhuri Shinde3 , Priyanka Shirole4

Section:Research Paper, Product Type: Journal Paper
Volume-3 , Issue-1 , Page no. 105-108, Jan-2015

Online published on Jan 31, 2015

Copyright © Vaishnavi Aher,Sayali Khairnar,Madhuri Shinde , Priyanka Shirole . 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: Vaishnavi Aher,Sayali Khairnar,Madhuri Shinde , Priyanka Shirole, “Load Balancing of node in Network using Ant Colony Optimization,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.1, pp.105-108, 2015.

MLA Style Citation: Vaishnavi Aher,Sayali Khairnar,Madhuri Shinde , Priyanka Shirole "Load Balancing of node in Network using Ant Colony Optimization." International Journal of Computer Sciences and Engineering 3.1 (2015): 105-108.

APA Style Citation: Vaishnavi Aher,Sayali Khairnar,Madhuri Shinde , Priyanka Shirole, (2015). Load Balancing of node in Network using Ant Colony Optimization. International Journal of Computer Sciences and Engineering, 3(1), 105-108.

BibTex Style Citation:
@article{Aher_2015,
author = {Vaishnavi Aher,Sayali Khairnar,Madhuri Shinde , Priyanka Shirole},
title = {Load Balancing of node in Network using Ant Colony Optimization},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2015},
volume = {3},
Issue = {1},
month = {1},
year = {2015},
issn = {2347-2693},
pages = {105-108},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=372},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=372
TI - Load Balancing of node in Network using Ant Colony Optimization
T2 - International Journal of Computer Sciences and Engineering
AU - Vaishnavi Aher,Sayali Khairnar,Madhuri Shinde , Priyanka Shirole
PY - 2015
DA - 2015/01/31
PB - IJCSE, Indore, INDIA
SP - 105-108
IS - 1
VL - 3
SN - 2347-2693
ER -

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Abstract

In this paper, we used algorithm for load balancing of workload among the various nodes of grid network by using Ant Colony Optimization (ACO). Load balancing is one in all the most difficult problems in networking that is need to distribute the dynamic work across multiple nodes to confirm that no single node is overloaded. The main contribution of our work is to balance the whole system load whereas making an attempt to maximize and minimize the parameter. Actually when two or more co-positioned ants exchange their knowledge, they extend their movement radius to a bigger domain and this causes better awareness of the environment. There is a similar idea which is inspired from the pheromone deposits from the ants while wandering. Other ants can pursue the ant by using this pheromone deposited. This idea is applied in most of ant colony optimization problems.

Key-Words / Index Term

Ant Colony Optimization (ACO), Pheromone updation table, Grid Networks, Load Balancing

References

[1] Kumar Nishant, Pratik Sharma, Vishal Krishna, Chhavi Gupta and Kuwar Pratap Singh Nitin and Ravi Rastogi,” Load Balancing of Nodes in Cloud Using Ant Colony Optimization”, 2012 14th International Conference on Modelling and Simulation”, 978-0-7695-4682-7/12, © 2012 IEEE.
[2] Sandip Kumar Goyal , Manpreet Singh,” Adaptive and Dynamic Load Balancing in Grid Using Ant Colony Optimization”, International Journal of Engineering and Technology (IJET), ISSN : 0975-4024, Vol 4 No 4 Aug-Sep 2012.
[3] M. LAl-Dahoud Ali and Mohamed A. Belal,” Multiple Ant Colonies Optimization for Load Balancing in Distributed Systems”, ICTA’07, April 12-14, Hammamet, Tunisia.
[4] A. D. Ali, and M. A. Belal, “Multiple ant colonies optimization for load balancing in distributed systems,” in Proc. Inter. Conf. (ICTA’07), 2007.
[5] R.A. Arnous, H.A. Arafat and M.M. Salem, Improving the Load Balancing within the Data Network via Modified AntNet Algorithm, Proceedings of the 5th International Conference on Information and Communication Technology, pp. 189-195, 2007.