PACKET SCHEDULING FOR MAXIMIZING REVENUE IN A NETWORK NODE
Jian Zhang, Timo Hämäläinen, Jyrki Joutsensalo
2004
Abstract
In the future Internet, different applications such as Voice over IP (VoIP) and Video-on-Demand (VoD) arise with different demands on Quality of Service (QoS). Different kinds of service classes (e.g. gold, silver, bronze) should be supported in a network node. In the network node, packets are queued using a multiqueue system, where each queue corresponds to one service class. The customers of different classes will pay different prices to network providers based on multi-class pricing models. In this paper, we considered the optimization problem of maximizing the revenue attained in a network node under linear pricing scenario. A revenue-aware scheduling approach is introduced, which has the closed-form solution to the optimal weights for revenue maximization derived from revenue target function by Lagrangian optimization approach. The simulations demonstrate the revenue maximization ability of our approach.
References
- Courcoubetis C., Kelly F.P., and Weber R. (2000). Measurement-based usage charges in communication networks. Oper. Res.. Vol.48, No.4, pp. 535-548, 2000.
- Golestani S.J. (1994). A Self-Clocked Fair Queuing Scheme for Broadband Applications In Proc. of INFOCOM'94, pp. 636-646, April 1994.
- Kelly F.P. (1994).
- Oper. Res. Lett.. Vol.15, pp. 1-9, 1994.
- Kelly F.P. (1997). Charging and rate control for elastic traf c. European Transaction on Telecommunication, Vol.8, pp. 33-37, 1997.
- Kelly F.P., Maulloo A.K., and Tan D.K.H. (1998). Rate control for communication networks: Shadow prices, proportional fairness and stability. Oper. Res. Soc., Vol.49, pp. 237-252, 1998.
- La R.J. and Anantharam V. (2002). Utility-based Rate Control in the Internet for Elastic Traf c. IEEE/ACM Transactions on Networking, Vol.10, Issue: 2, pp. 272-286, April 2002.
- MacKie-Mason J.K. and Varian H.R. (1994). Pricing the Internet, in Public Access to the Internet. B. Kahin and J. Keller, Eds. Englewood Cliffs, NJ: Prentice-Hall, 1994.
- Parekh A.K. and Gallager R.G. (1993). A Generalized Processor Sharing Approach to Flow Control in Integrated Services Networks: The Single-Node Cases. IEEE/ACM Transactions On Networking, Vol.1, No.3, pp. 344-357, June 1993.
- Paschalidis I.Ch. and Tsitsiklis J.N. (2000). Congestion-dependent pricing of network services. IEEE/ACM Transactions on Networking, Vol.8, pp. 171-184, April 2000.
- Paschalidis I.Ch. and Liu Y. (2002). Pricing in multiservice loss networks: static pricing, asymptotic optimality and demand subsitution effects. IEEE/ACM Transactions on Networking, Vol.10, Issue: 3, pp. 425-438, June 2002.
- Stiliadis D. and Varma A. (1995). Ef cient Fair Queuing Algorithm for ATM and Packet Networks. Tech. Rep. UCSCCRL-95-59, Dec. 1995.
- Stiliadis D. and Varma A. (1996). Design and Analysis of Frame-based Fair Queuing: A New Traf c Scheduling Algorithm for Packet-Switched Networks. In Proc. of SIGMETRICS'96, pp. 104-115, May 1996.
Paper Citation
in Harvard Style
Zhang J., Hämäläinen T. and Joutsensalo J. (2004). PACKET SCHEDULING FOR MAXIMIZING REVENUE IN A NETWORK NODE . In Proceedings of the First International Conference on E-Business and Telecommunication Networks - Volume 2: ICETE, ISBN 972-8865-15-5, pages 134-139. DOI: 10.5220/0001392601340139
in Bibtex Style
@conference{icete04,
author={Jian Zhang and Timo Hämäläinen and Jyrki Joutsensalo},
title={PACKET SCHEDULING FOR MAXIMIZING REVENUE IN A NETWORK NODE},
booktitle={Proceedings of the First International Conference on E-Business and Telecommunication Networks - Volume 2: ICETE,},
year={2004},
pages={134-139},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001392601340139},
isbn={972-8865-15-5},
}
in EndNote Style
TY - CONF
JO - Proceedings of the First International Conference on E-Business and Telecommunication Networks - Volume 2: ICETE,
TI - PACKET SCHEDULING FOR MAXIMIZING REVENUE IN A NETWORK NODE
SN - 972-8865-15-5
AU - Zhang J.
AU - Hämäläinen T.
AU - Joutsensalo J.
PY - 2004
SP - 134
EP - 139
DO - 10.5220/0001392601340139