We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

A New Architecture to Improve Multimedia QoS over Software Defined Networks

by Mohammad Reza Parsaei, Mahshid Naderi, Reza Javidan
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 23
Year of Publication: 2018
Authors: Mohammad Reza Parsaei, Mahshid Naderi, Reza Javidan
10.5120/ijca2018916424

Mohammad Reza Parsaei, Mahshid Naderi, Reza Javidan . A New Architecture to Improve Multimedia QoS over Software Defined Networks. International Journal of Computer Applications. 179, 23 ( Feb 2018), 14-19. DOI=10.5120/ijca2018916424

@article{ 10.5120/ijca2018916424,
author = { Mohammad Reza Parsaei, Mahshid Naderi, Reza Javidan },
title = { A New Architecture to Improve Multimedia QoS over Software Defined Networks },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2018 },
volume = { 179 },
number = { 23 },
month = { Feb },
year = { 2018 },
issn = { 0975-8887 },
pages = { 14-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number23/29007-2018916424/ },
doi = { 10.5120/ijca2018916424 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:56:13.618019+05:30
%A Mohammad Reza Parsaei
%A Mahshid Naderi
%A Reza Javidan
%T A New Architecture to Improve Multimedia QoS over Software Defined Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 23
%P 14-19
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Nowadays operators are forced to struggle with low level configurations and exclusives of network devices vendors to establish and maintain a secure connection and implement complex management policies on these devices. Software Defined Networks (SDN) are a new style of computer networks which provides new facilities and methods for network management and configuration by separating control level and data level. In order to improve the video Quality of Service (QoS) and increase the efficiency of the end-to-end performance, it is necessary to select the best route and implement QoS for videos, whilst there may be different routes between the transmitter and the receiver and due to network’s complexity, discover the optimal route would be impossible. Hence the existing solution is a SDN with an overall view. In this paper, At First, QoS definitions are expressed. Second, traffic engineering methods in current networks is discussed. Finally, a new technique to improve QoS over SDN is proposed. Results of performance evaluation showed that the proposed method is better than existing methods.

References
  1. Parsaei, M. R., Javidan, R., Fatemifar, A. and Einavipour, S. “Providing Multimedia QoS Methods over Software Defined Networks: A Comprehensive Review,” International Journal of Computer Applications, vol. 168, no. 9, pp. 55-59, 2017.
  2. Parsaei, M. R., Mohammadi, R. and Javidan, R. “A new adaptive traffic engineering method for telesurgery using ACO algorithm over Software Defined Networks,” European Research in Telemedicine/La Recherche Européenne en Télémédecine, vol. 6, no. 3-4, pp. 173-180, 2017.
  3. Parsaei, M. R., Sobouti, M. J., Khayami, S. R. and Javidan, R. “Network Traffic Classification using Machine Learning Techniques over Software Defined Networks,” International journal of Advanced Computer Science and Applications, vol. 8, no. 7, pp. 220-225, 2017.
  4. Rowshanrad, S., Parsaei, M. R. and Keshtgari, M. “Implementing NDN using SDN: a review on methods and applications,” IIUM Engineering Journal, vol. 17, no. 2, pp. 11-20, 2017.
  5. Parsaei, M. R., Khalilian, S. H. and Javidan, R. “A Comparative Study on Fault Tolerance Methods in IP Networks versus Software Defined Networks,” International Academic Journal of Science and Engineering. vol. 3, no. 4, pp. 146-154, 2016.
  6. Masoudi, R. and Ghaffari, A. “Software defined networks: A survey,” International Journal of Network and Computer Applications, vol. 67, pp. 1-25, 2017.
  7. Li, W., Meng, W. and Kwok, L. F. “A survey on OpenFlow-based Software Defined Networks: Security challenges and countermeasures,” International Journal of Network and Computer Applications, vol. 68, pp. 126-139, 2016.
  8. Karakus, M. and Durresi, A. “Quality of Service (QoS) in Software Defined Networking (SDN): A survey,” International Journal of Network and Computer Applications, vol. 80, pp. 200-218, 2017.
  9. Taheri, R. and Parsaei, M. R. “Elearning Framework Based On Cloud Computing,” Journal of Selcuk University Natural and Applied Science, pp. 272-278, 2015.
  10. Parnian, A. R., Parsaei, M. R., Javidan, R. and Mohammadi, R. “Smart Objects Presence Facilitation in the Internet of Things,” International Journal of Computer Applications, vol. 168, no. 4, pp. 25-31, 2017.
  11. Parsaei, M. R., Parnian, A. R., Rostami, S. M. and Javidan, R. “RPL load balancing in Internet of Things,” IIUM Engineering Journal, vol. 18, no. 2, pp. 137-150, 2017.
  12. Taheri, R., Parsaei, M. R. and Javidan, R. “A New Method for Optimizing Energy Consumption in Wireless Sensor Networks Using Enhanced LEACH Protocol,” Journal of Engineering and Applied Sciences, vol. 100, no. 3, pp. 576-581, 2016.
  13. Parsaei, M. R. and Parnian, A. R. “IPv6 based routing in building automation network,” International Conference on Knowledge-Based Engineering and Innovation (KBEI), pp. 1025-1031, 2015.
  14. Kurose, J. F. and ROSS K. W. “Computer Networking: a top-down approach featuring the Internet,” pp. 640-646, 2004.
  15. Braden, R., Clark, D. and Shenker, S. “Integrated services in the Internet architecture: an overview,” RFC 1633, 1994.
  16. Owens, II H. and Durresi, A. “Video over software-defined networking (vsdn),” Computer Networks, vol. 92, pp. 341-356, 2015.
  17. Blake, S., Black, D., Carlson, M., Davies, E., Wang, Z. and Weiss, W. “An architecture for differentiated services,” RFC 2475, 1998.
  18. Das, S., Sharafat, A. R., Parulkar, G. and McKeown, N. “MPLS with a simple OPEN control plane,” In Optical Fiber Communication Conference and Exposition (OFC/NFOEC), pp. 1-3, 2011.
  19. Harju, J. and Kivimaki, P. “Co-operation and comparison of DiffServ and IntServ: performance measurements,” 25th Conference on Local Computer Networks (LCN), pp. 177-186, 2000.
  20. Bi, J., Leng, X. and Wu, J. “OSPF-TE Scalability Study based on Internal Performance Measurement,” International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies (ICN/ICONS/MCL), pp. 92-92, 2006.
  21. Daxin, Z. and Danlin, C. “Research and simulation of distributed QoS routing algorithm,” International Conference on Broadband Network & Multimedia Technology, pp. 24-27, 2009.
  22. Egilmez, H. E., Dane, S. T., Bagci, K. T. and Tekalp, A. M. “OpenQoS: An OpenFlow controller design for multimedia delivery with end-to-end Quality of Service over Software Defined Networks,” Conference on Signal and Information Processing Association, pp. 1-8, 2012.
  23. Parsaei, M. R., Javidan, R., Kargar, N. S. and Nik, H.S. “On the global stability of an epidemic model of computer viruses,” Theory in Biosciences, vol. 136, no. 3-4, pp. 169-178, 2017.
  24. Gao, W., Sarlak, V., Parsaei, M. R. and Ferdosi, M. “Combination of fuzzy based on a meta-heuristic algorithm to predict electricity price in an electricity markets,” Chemical Engineering Research and Design, pp. 1-25, 2017. Doi: 10.1016/j.cherd.2017.09.021.
  25. Parsaei, M. R., Javidan, R. and Sobouti, M. J. “Optimization of Fuzzy Rules for Online Fraud Detection with the Use of Developed Genetic Algorithm and Fuzzy Operators,” Asian Journal of Information Technology, vol. 15, no. 11, pp. 1856-1864, 2016.
  26. Parsa, S. S., Sourizaei, M., Dehshibi, M. M., Shateri, R. E. and Parsaei, M. R. “Coarse-grained correspondence-based ancient Sasanian coin classification by fusion of local features and sparse representation-based classifier,” Multimedia Tools and Applications, vol. 76, no. 14, pp. 15535-15560, 2017.
  27. Komijani, H., Parsaei, M. R., Khajeh, E., Golkar, M. J. and Zarrabi, H. “EEG classification using recurrent adaptive neuro-fuzzy network based on time-series prediction,” Neural Computing and Applications, pp.1-12, 2017. Doi: 10.1007/s00521-017-3213-3.
  28. Nabaei, A., Hamian, M., Parsaei, M. R., Safdari, R., Samad-Soltani, T., Zarrabi, H. and Ghassemi, A. “Topologies and performance of intelligent algorithms: a comprehensive review,” Artificial Intelligence Review, vol. 49, no. 1, pp. 79-103, 2018.
Index Terms

Computer Science
Information Sciences

Keywords

Software Defined Networking Multimedia Quality of Service Traffic Engineering.

Powered by PhDFocusTM