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Router CPU Time Management in Cellular IP Networks using GA

by Mohammad Anbar, Deo Prakash Vidyarthi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 3
Year of Publication: 2010
Authors: Mohammad Anbar, Deo Prakash Vidyarthi
10.5120/74-168

Mohammad Anbar, Deo Prakash Vidyarthi . Router CPU Time Management in Cellular IP Networks using GA. International Journal of Computer Applications. 1, 3 ( February 2010), 106-112. DOI=10.5120/74-168

@article{ 10.5120/74-168,
author = { Mohammad Anbar, Deo Prakash Vidyarthi },
title = { Router CPU Time Management in Cellular IP Networks using GA },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 3 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 106-112 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number3/74-168/ },
doi = { 10.5120/74-168 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:44:05.220632+05:30
%A Mohammad Anbar
%A Deo Prakash Vidyarthi
%T Router CPU Time Management in Cellular IP Networks using GA
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 3
%P 106-112
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Providing good QoS in Cellular IP networks is one of the important issues in order to improve the performance of the Cellular IP network. Resource reservation is one of the methods used in achieving this goal and is proven to be effective. Resources of Cellular IP network that can be reserved are bandwidth, buffer and CPU cycles. Router CPU cycle is the time taken to process a packet before forwarding it to the next router (hop). This paper is proposing a model for CPU cycle optimization of routers for real-time flows in Cellular IP network. The model applies Genetic Algorithm as a soft computing tool to optimize the CPU cycles and reduces the flow processing time at each router in the route taken by a flow. Simulation experiments show the efficacy of the model.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Genetic Algorithms Router CPU Processing time Packet Arrival Rate Packet Processing Rate

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