A Novel Quality of Service (QoS) routing algorithm for Software Defined Network (SDN) using Particle Swarm Optimization (PSO)

Authors

  • Raghavendra Kulkarni  Research Scholar, Department of Computer Science, Bhagwant University, Ajmer, Rajasthan, India
  • Dr. Kalpana Sharma  Assistant Professor, Department of Computer Science, Bhagwant University, Ajmer, Rajasthan, India

Keywords:

Delay Constrained Least Cost (DCLC), Particle Swarm Optimization (PSO), Software Defined Network (SDN), Quality of Service (QoS), Throughput, Latency.

Abstract

Due to the use of various technologies like mobile, cloud, big data. The network traffic has increased this has resulted in the reexamination of the working of traditional network architectures as these are built as static architectures and cannot handle the rapid growing traffic on the internet. A dynamic architecture which can be programmed according to the traffic behavior was the need. Software Defined Networking (SDN) was emerged to address the growing needs of the dynamic traffic which has been in the moonlight since 2010. SDN increase and makes the network as flexible to program according to the programmers needs by keeping the traffic in line. It gives the user flexibility of adjusting the network resources by separating the control plane and data plane. By using SDN networks can be managed dynamically. The capacity of a network to offer good services to the selected network traffic over various technologies is termed as Quality of Service (QoS). To transfer high-bandwidth video and multimedia information continuously QoS is of particular objective.

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Published

2018-02-28

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Section

Research Articles

How to Cite

[1]
Raghavendra Kulkarni, Dr. Kalpana Sharma, " A Novel Quality of Service (QoS) routing algorithm for Software Defined Network (SDN) using Particle Swarm Optimization (PSO), IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.1330-1336, January-February-2018.