CFP last date
20 December 2024
Reseach Article

A Conceptual Framework for QoE Measurement and Management in Networked Systems

by Alex Frank Mongi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 112 - Number 8
Year of Publication: 2015
Authors: Alex Frank Mongi
10.5120/19689-1438

Alex Frank Mongi . A Conceptual Framework for QoE Measurement and Management in Networked Systems. International Journal of Computer Applications. 112, 8 ( February 2015), 42-47. DOI=10.5120/19689-1438

@article{ 10.5120/19689-1438,
author = { Alex Frank Mongi },
title = { A Conceptual Framework for QoE Measurement and Management in Networked Systems },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 112 },
number = { 8 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 42-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume112/number8/19689-1438/ },
doi = { 10.5120/19689-1438 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:49:29.910736+05:30
%A Alex Frank Mongi
%T A Conceptual Framework for QoE Measurement and Management in Networked Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 112
%N 8
%P 42-47
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Network management of real time applications demands a new approach for an effective service quality provision. The traditional approach of network management based on Quality of Service (QoS) parameters like jitter, throughput, delay and loss cannot give enough details of how user quality demands. Therefore network management approach must start from user's point of view to the network side. This kind of approach is called a user-centric network management approach which ensures that end users quality of experience (QoE) is maintained. Most of network management systems have manage and monitor network performance without knowing what users are experiencing. This paper propose a framework to measure and manage QoE in networked systems. It is clear that a network which can identify user's quality requirement and optimize itself will simply meet users' demands, and hence users' satisfaction which is define as QoE. Another key issue which has not been implemented by existing systems is the issue of compensation. If network systems at the time of requesting cannot offer resources enough to meet users' demands, then users should be compensated. In achieving those requirements, the proposed framework is designed with five key elements which are QoE-predictor, Network Management & Mediation System (NMMS), Resource Allocations &Management System (RAMS), Service Level Agreement Management System (SLAMS) and Billing System (BS).

References
  1. Agboma, F. , & Liotta, A. 2008 Addressing User Expectations in Mobile Content Delivery Mobile Information Systems, Vol. 3, No. 4,pp. 153-164, ISSN 1574-017x
  2. Asif A. 2012 QoN: Quality of Experience (QoE) Framework for Network Services. International Conference on Software Technology and Engineering (ICSTE 2012). ASME Press.
  3. Barakovic, S and Kapov S. L. 2013 Survey and Challenges of QoE Management Issues in Wireless Networks. Journal of Computer Networks and Communications, Volume, Article ID 165146, 28 pages
  4. Barakovi?, S. , Barakovi?, J. , & Bajri?, H. 2010 QoE dimensions and QoE measurement of NGN services. In Proceedings of the 18th Telecommunications Forum
  5. Chevallier, C, Christopher B, Andrea G, Kevin, P Kenneth, R 2006 WCDMA (UMTS) DEPLOYMENT HANDBOOK: Planning and Optimization Aspects, John Wiley & Sons Ltd Press.
  6. Geerts, D. , De Moor, K. , Ketyko, I. , Jacobs, A. , Van den Bergh, J. , Joseph, W. , . . . & De Marez, L. 2010. Linking an integrated framework with appropriate methods for measuring QoE. In Quality of Multimedia Experience (QoMEX), Second International Workshop on (pp. 158-163). IEEE.
  7. Huawei Article 2013 Smart Mobile Broadband Available at http://www. huawei. com/uk/, accessed on 14th January 2014.
  8. ITU-T, Rec. 800: Methods for subjective determination of transmission quality. International Telecommunication Union-Telecommunication Standardisation Sector (ITU-T) (2007).
  9. Khalil, U, Thanh T, Noel, C. 2012 QoM : a new quality of experience framework for multimedia services. PEDISWESA '12: Fourth IEEE International Workshop on Performance Evaluation of Communications in Distributed Systems and Wed based Service Architectures, Cappadocia, Turkey. IEEE, pp. 851- 856,
  10. Laghari, A. A. , Laghari, K. U. R. , Channa, M. I. , & Falk, T. H. 2012. QoN: Quality of Experience (QoE) Framework for Network Services. In International Conference on Software Technology and Engineering (ICSTE 2012). ASME Press.
  11. Laghari, K. U. R. , & Connelly, K. 2012. Toward total quality of experience: A QoE model in a communication ecosystem. Communications Magazine, IEEE, 50(4), 58-65.
  12. Mu, M. , Cerqueira, E. , Boavida, F. , & Mauthe, A. 2009. Quality of experience management framework for real-time multimedia applications. International Journal of Internet Protocol Technology, 4, 54-64.
  13. Nokia white paper. 2004 Quality of Experience (QoE) of mobile services: Can it be measured and improved?" accessed on 5th December 2014. Available at http://www. nokia. com
  14. Noor, R. M and Khorsandroo, S. 2011 Quality of experience key metric framework for networks mobility user. International journal of the Physical Sciences, Vol 6 (28),pp 6521-6528, available at http:www. academicjournals. org, accessed on 10th December 2012
  15. Rengaraju, P. , Lung, C. H. , Yu, F. R. , & Srinivasan, A. 2012. On QoE monitoring and E2E service assurance in 4G wireless networks. Wireless Communications, IEEE, 19(4), 89-96.
  16. Smith, C and Daniel, C (2004), 3G Wireless Networks. The McGraw-Hill Companies
  17. Soldani, D. , 2006. Means and methods for collecting and analyzing QoE measurements in wireless networks . In Proceedings of International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM '06), pp. 531–535, Niagara-Falls, Buffalo-NY, USA, June 2006
Index Terms

Computer Science
Information Sciences

Keywords

QoE-predictor QoS RAMS NMMS SLAMS OPEX