|1/2020 - 4|
A Novel Simulation Model for Pricing Different QoS Levels in IP NetworksRADONJIC DJOGATOVIC, V. , DJOGATOVIC, M.
|Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (896 KB) | Citation | Downloads: 194 | Views: 400|
decision making, IP networks, quality of service, programming, simulation
simulation(11), pricing(10), networks(5), quality(4), discrete(4), communications(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2020-02-28
Volume 20, Issue 1, Year 2020, On page(s): 27 - 34
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2020.01004
Web of Science Accession Number: 000518392600004
SCOPUS ID: 85083703162
The selection of the appropriate pricing concept is one of the most important business decisions an Internet service provider (ISP) has to make. An efficient pricing concept implies that price reflects the quality of service (QoS) obtained by a service provider. In this paper, we propose four billing scenarios, each with applied user-centric QoS-based pricing concept, which is focused on users' demands, defined through QoS and price requirements, as well as delivered QoS. The main issue of this research is to analyse how much ISP's revenue will vary depending on the applied billing scenario. For this purpose, we propose a novel discrete event simulation model. he proposed simulation model is implemented using a newly created programming library based on the event scheduling strategy. This model can be helpful to an ISP in the process of decision making which billing scenario to choose in order to maximize its revenue. Output parameters obtained through the simulation analysis are ISP's revenue and service prices for different billing scenarios.
|References|||||Cited By «-- Click to see who has cited this paper|
| ITU-T Recommendation E.800, Definitions of terms related to quality of service, 2008.
 J. Altmann, K. Chu, "How to charge for network services: flat-rate or usage-based?" Computer Networks, vol. 36, no. 5-6, pp. 519-531, 2001.
[CrossRef] [Web of Science Times Cited 38] [SCOPUS Times Cited 55]
 J. MacKie-Mason, L. Murphy, J. Murphy, "The role of responsive pricing in the Internet," The Journal of Electronic Publishing, vol.1, no.1&2, 1995.
 J. Chod, N. Rudi, "Resource flexibility with responsive pricing," Operations Research, vol. 53, no. 3, pp. 532-548, 2005.
[CrossRef] [Web of Science Times Cited 125] [SCOPUS Times Cited 135]
 A. Nevo, J. L. Turner, J. W. Williams, "Usage-based pricing and demand for residential broadband," Econometrica, vol. 84, pp. 411-443, 2016.
[CrossRef] [Web of Science Times Cited 29] [SCOPUS Times Cited 33]
 S. Sen, C. Joe-Wong, S. Ha, M. Chiang, "Incentivizing time-shifting of data: A survey of time-dependent pricing for internet access," IEEE Communications Magazine, vol. 50, no. 11, pp. 91-99, 2012.
[CrossRef] [Web of Science Times Cited 80] [SCOPUS Times Cited 100]
 A. Guerrero-Ibanez, J. Contreras-Castillo, A. Barba, A. Reyes, "A QoS-based dynamic pricing approach for services provisioning in heterogeneous wireless access networks," Pervasive and Mobile Computing, vol. 7, no. 5, pp. 569-583, 2011.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 8]
 D. Elreedy, A. F. Atiya, H. Fayed, M. Saleh, "A framework for an agent-based dynamic pricing for broadband wireless price rate plans," Journal of Simulation, vol. 13, no. 2, pp. 96-110, 2019.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 2]
 B. Al-Manthari, N. Nasser, H. Hassanein, "Congestion pricing in wireless cellular networks," IEEE Communications Surveys & Tutorials, vol. 13, no. 3, pp. 358-371, 2011.
[CrossRef] [Web of Science Times Cited 18] [SCOPUS Times Cited 23]
 V. Radonjic Äogatovic, M. Äogatovic, M. Stanojevic, "Simulation analysis of quality of business in IP networks," Yugoslav Journal of Operations Research, [S.l.], 2018.
[CrossRef] [SCOPUS Times Cited 1]
 UsQoP - User-centric QoS-based pricing simulation model, from https://github.com/mdjogatovic/UsQoP, accessed on 11.11.2019.
 T. H. Rasmussen , N. Hansen, S. Lazarova-Molnar, "A discrete-event simulation tool for decision support in selecting project scheduling strategies", 7th International Conference ICMSAO, Sharjah, UAE, 2017, pp. 1-5.
[CrossRef] [SCOPUS Times Cited 1]
 G. E. Vieira, M. Kuck, E. Frazzon, M. Freitag, Evaluating the robustness of production schedules using discrete-event simulation, IFAC-PapersOnLine, vol. 50, no. 1, 2017, pp. 7953-7958,
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 8]
 F. M. Alam, S. Mohan, W. Fowler, M. Gopalakrishnan, "A discrete event simulation tool for performance management of web-based application systems," Journal of Simulation, vol. 6, no. 1, pp 21-32, 2012.
[CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 7]
 V. Äogatovic, A. Kostic-Ljubisavljevic, Telecommunications pricing fundamentals, pp. 53-58, University of Belgrade, 2015.
 R. Stankiewicz, P. Cholda, A. Jajszczyk, "QoX: What is It Really?," IEEE Communications Magazine, vol. 49, no. 3, pp. 148-158, 2011.
[CrossRef] [Web of Science Times Cited 72] [SCOPUS Times Cited 93]
 S. Lindskog, E. Jonsson, "Adding Security to Quality of Service Architectures," Perspectives on Multimedia, R. Burnett, A. Brunstrom, A.G. Nilsson, Ed., John Wiley & Sons, 2003, pp.145-158.
[CrossRef] [SCOPUS Times Cited 6]
 G. I. Palmer, V. A. Knight, P. R. Harper, A. L. Hawa, "Ciw: An open-source discrete event simulation library," Journal of Simulation, vol. 13, no. 1, pp. 68-82, 2019.
[CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 2]
 M. A. Law, Simulation modeling and analysis, 5th Edition, pp. 93-102, McGraw-Hill Education, 2014.
 B. A. Downey, Think Python: How to think like a computer scientist, 2nd Edition, pp. 225, O'Reilly, 2015.
 D. Kashyap, J. Viradiya, "A Survey Of Various Load Balancing Algorithms In Cloud Computing," International Journal of Scientific & Technology Research, vol. 3, no. 11, pp. 115-119, 2014.
 G. Allen, M. Owens, The definitive guide to SQLite, 2nd Edition, pp. 8-13, Apress Berkley, 2010.
 PYES - PYthon Event Scheduling simulation library, from https://github.com/mdjogatovic/pyes, accessed on 11.11.2019.
 P. Reichl, P. Zwickl, P. Maille, M. Varela, "What you pay is what you get?" Quality and User Experience, 3:5, 2018.
 M. Falkner, M. Devetsikiotis, I. Lambadaris, "An overview of pricing concepts for broadband IP networks," IEEE Communications Surveys & Tutorials, vol. 3, no. 2, pp. 2-13, 2000.
Web of Science® Citations for all references: 383 TCR
SCOPUS® Citations for all references: 474 TCR
Web of Science® Average Citations per reference: 15 ACR
SCOPUS® Average Citations per reference: 18 ACR
TCR = Total Citations for References / ACR = Average Citations per Reference
We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more
Citations for references updated on 2021-01-14 09:26 in 110 seconds.
Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.