Abstract
Efficient dynamic resource provisioning algorithms are necessary to the development and automation of Quality of Service (QoS) networks. The main goal of these algorithms is to offer services that satisfy the QoS requirements of individual users while guaranteeing at the same time an efficient utilization of network resources. In this paper we introduce a new service model that provides quantitative per-flow bandwidth guarantees, where users subscribe for a guaranteed rate; moreover, the network periodically individuates unused bandwidth and proposes short-term contracts where extra-bandwidth is allocated and guaranteed exclusively to users who can exploit it to transmit at a rate higher than their subscribed rate. To implement this service model we propose a dynamic provisioning architecture for intra-domain Quality of Service networks. We develop an efficient bandwidth allocation algorithm that takes explicitly into account traffic statistics to increase the users’ benefit and the network revenue simultaneously. We demonstrate through simulation in realistic network scenarios that the proposed dynamic provisioning model is superior to static provisioning in providing resource allocation both in terms of total accepted load and network revenue.
This work is partially supported by the National Council for Scientific Research in Lebanon.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Campbell, A.T., Liao, R.R.-F.: Dynamic Core Provisioning for Quantitative Differentiated Services. IEEE/ACM Transactions on Networking 12(3), 429–442 (2004)
Schulzrinne, H., Wang, X.: Incentive-Compatible Adaptation of Internet Real-Time Multimedia. IEEE Journal on Selected Areas in Communications 23(2), 417–436 (2005)
Campbell, A.T., Liao, R.R.-F.: Dynamic Edge Provisioning for Core IP Networks. In: Proc. IEEE/IFIP Int’l Workshop on Quality of Service IWQOS, Pittsburgh, USA (June 2000)
Ahmed, T., Boutaba, R., Mehaoua, A.: A Measurement-Based Approach for Dynamic QoS Adaptation in DiffServ Network. Journal of Computer Communications, Special issue on End-to-End Quality of Service Differentiation, Elsevier Science (2004)
de Meer, H., O’Hanlon, P.: Segmented Adaptation of Traffic aggregates. In: Proc. 9th International Workshop on Quality of Service IWQOS, Karlsruhe, Germany, June 6-8, pp. 342–353 (2001)
Mahajan, M., Parasharand, M., Ramanathan, A.: Active Resource Management for the Differentiated Services Environment. International Journal of Network Management 14(3), 149–165 (2004)
Cao, Z., Zegura, E.: Utility Max-Min: An Application-Oriented Bandwidth Allocation Scheme. In: Proc. IEEE Infocom 1999, New York, USA (March 1999)
Kelly, F.: Charging and rate control for elastic traffic. European Transactions on Telecommunications 8, 33–37 (1997)
Aweya, J., Ouellette, M., Montuno, D.Y.: A simple, scalable and provably stable explicit rate computation scheme for flow control in computer networks. Int. J. Commun. Syst. 14(6), 593–618 (2001)
Aweya, J., Ouellette, M., Montuno, D.Y.: Design and stability analysis of a rate control algorithm using the Routh-Hurwitz stability criterion. IEEE/ACM Transactions on Networking 12(4), 719–732 (2004)
Bertsekas, D., Gallager, R.: Data Networks, 2nd edn. Prentice-Hall, Englewood Cliffs (1992)
Breslau, L., Shenker, S.: Best-Effort versus Reservations: A Simple Comparative Analysis. In: Proc. ACM SIGCOMM, September 1998, pp. 3–16 (1998)
Lee, J.W., Mazumdar, R.R., Shroff, N.B.: Non-Convex Optimization and Rate Control for Multi-Class Services in the Internet. IEEE/ACM Transactions on Networking 13(4), 827–840 (2005)
Schulzrinne, H., Wang, X.: RNAP: A resource negotiation and pricing protocol. In: Int. Workshop Netw. Oper. Syst. Support Digital Audio Video, Basking Ridge, NJ, June 1999, pp. 77–93 (1999)
J-Sim. Ohio State University, Available at: www.j-sim.org
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Capone, A., Elias, J., Martignon, F., Pujolle, G. (2006). Dynamic Resource Allocation in Quality of Service Networks. In: Cesana, M., Fratta, L. (eds) Wireless Systems and Network Architectures in Next Generation Internet. EuroNGI 2005. Lecture Notes in Computer Science, vol 3883. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11750673_15
Download citation
DOI: https://doi.org/10.1007/11750673_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34025-6
Online ISBN: 978-3-540-34026-3
eBook Packages: Computer ScienceComputer Science (R0)