Research Article
Server Load – Balancing using Resources of Clustering Technique
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 125 - Issue 5 |
| Published: September 2015 |
| Authors: Garima Midya, Jayant Parashar, Swetabh Suman, Rahul Mishra |
10.5120/ijca2015905915
|
Garima Midya, Jayant Parashar, Swetabh Suman, Rahul Mishra . Server Load – Balancing using Resources of Clustering Technique. International Journal of Computer Applications. 125, 5 (September 2015), 25-29. DOI=10.5120/ijca2015905915
@article{ 10.5120/ijca2015905915,
author = { Garima Midya,Jayant Parashar,Swetabh Suman,Rahul Mishra },
title = { Server Load – Balancing using Resources of Clustering Technique },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 125 },
number = { 5 },
pages = { 25-29 },
doi = { 10.5120/ijca2015905915 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Garima Midya
%A Jayant Parashar
%A Swetabh Suman
%A Rahul Mishra
%T Server Load – Balancing using Resources of Clustering Technique%T
%J International Journal of Computer Applications
%V 125
%N 5
%P 25-29
%R 10.5120/ijca2015905915
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Load Balancing is one of the most important issues for clustered servers. Load Balancing is done on the basis of server traffic. The proposed algorithm uses user-session history as the other constraint which is very useful for resource management over the server and easy access for the client. Collection of the data of a particular client from the last user-session, groups the applications that are likely to be opened in a specific time frame. This will provide easy access to the client and will reduce resource wastage on the server by using cluster technology. The primary clusters will be based on the bandwidth of the client’s internet bandwidth, which will map to different servers. Whereas secondary clusters will be based on the similarity of application-usage in the past user-session. This approach can reduce the unnecessary searching time. Cluster management will provide better approachability towards the server also the bandwidth based load balancing will lead to the minimum bandwidth wastage.
References
- Design and implementation of Server-Cluster dynamic load balancing based on Open-Flow. Zhihao Shang, Wenbo Chen, Qiang Ma, Bin WU Lanzhou University Communication Network Center Lanzhou, China
- Clustering data streams: Theory and practice. Guha, S.; Dept. of Comput. Sci., Pennsylvania Univ., Philadelphia, PA, USA; Meyerson, A.; Mishra, N.; Motwani, R.
- An improved Single-Pass clustering algorithm internet-oriented network topic detection. Yi Xiaolin; Coll. of Comput. Sci., Beijing Univ. of Technol., Beijing, China; Zhao Xiao; Ke Nan; Zhao Fengchao
- Continuous One-Way Detection of Available Bandwidth Changes for Video Streaming Over Best- Effort Networks. Javadtalab, A.; Distrib. & Collaborative Virtual Environ. Res. Lab., Univ. of Ottawa, Ottawa, ON, Canada; Semsarzadeh, M.; Khanchi, A.; Shirmohammadi, S.
- Determining the time window threshold to identify user sessions of stakeholders of a commercial bank portal. Jozef Kapusta1, Michal Munk1, Peter Svec1* and Anna Pilkova21Constantine the Philosopher University in Nitra, Nitra, Slovakia 2Commenius University in Bratislava, Bratislava, Slovakia.
- Dynamic Clustering in Object-Oriented Databases: An Advocacy for Simplicity J. Darmont1, C. Fromantin2, S. Régnier2+3, L. Gruenwald3, M. Schneider2.
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