Performance analysis of traffic surges in multi-class communication networks
In multi-class communication networks, traffic surges due to one class of users can significantly degrade the performance for other classes. During these transient periods, it is thus of crucial importance to implement priority mechanisms allowing the conservation of the quality of service experienc...
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2010
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| Acceso en línea: | Registro en Scopus DOI Handle Registro en la Biblioteca Digital |
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| LEADER | 09042caa a22008777a 4500 | ||
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| 001 | PAPER-22764 | ||
| 003 | AR-BaUEN | ||
| 005 | 20230518205421.0 | ||
| 008 | 190411s2010 xx ||||fo|||| 10| 0 eng|d | ||
| 024 | 7 | |2 scopus |a 2-s2.0-78650165081 | |
| 040 | |a Scopus |b spa |c AR-BaUEN |d AR-BaUEN | ||
| 100 | 1 | |a Jonckheere, M.T.S. | |
| 245 | 1 | 0 | |a Performance analysis of traffic surges in multi-class communication networks |
| 260 | |c 2010 | ||
| 270 | 1 | 0 | |m Jonckheere, M. T. S.; CONICET, Departamento de Matemática, Universidad de Buenos Aires, Pabellón 1, 1428 Buenos Aires, Argentina; email: m.t.s.jonckheere@tue.nl |
| 506 | |2 openaire |e Política editorial | ||
| 504 | |a http://www.akamai.com/html/technology/nui/news/index.html; http://en.wikipedia.org/wiki/Web_traffic; Bonald, T., Massoulie, L., Proutiere, A., Virtamo, J., A queueing analysis of max-min fairness, proportional fairness and balanced fairness (2006) Queueing Systems, 53 (1-2), pp. 65-84. , DOI 10.1007/s11134-006-7587-7, Queueing Models for Fair Resource Sharing | ||
| 504 | |a Bonald, T., Proutière, A., Insensitive bandwidth sharing in data networks (2003) Queueing Syst. Theory Appl., 44 (1), pp. 69-100 | ||
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| 520 | 3 | |a In multi-class communication networks, traffic surges due to one class of users can significantly degrade the performance for other classes. During these transient periods, it is thus of crucial importance to implement priority mechanisms allowing the conservation of the quality of service experienced by the affected classes, while ensuring that the temporarily unstable class is not entirely neglected. In this paper, we examine - for a suitably-scaled set of parameters - the complex interaction occurring between several classes of traffic when an unstable class is penalized proportionally to its level of congestion. We characterize the evolution of the performance measures of the network from the moment the initial surge takes place until the system reaches its equilibrium. We show that, using a time-space-transition-scaling, the trajectories of the temporarily unstable class can be described by a differential equation, while those of the stable classes retain their stochastic nature. In particular, we show that the temporarily unstable class evolves at a time-scale which is much slower than that of the stable classes. Although the time-scales decouple, the dynamics of the temporarily unstable and the stable classes continue to influence one another. We further proceed to characterize the obtained differential equations for several simple network examples. In particular, the macroscopic asymptotic behavior of the unstable class allows us to gain important qualitative insights on how the bandwidth allocation affects performance. |l eng | |
| 593 | |a CONICET, Departamento de Matemática, Universidad de Buenos Aires, Pabellón 1, 1428 Buenos Aires, Argentina | ||
| 593 | |a Eindhoven University of Technology, Postbus 513, 5600 MB Eindhoven, Netherlands | ||
| 593 | |a Operations Research, Faculty of Economics and Business, University of Amsterdam, Netherlands | ||
| 593 | |a CWI, P.O. Box 94079, 1090 GB Amsterdam, Netherlands | ||
| 593 | |a CNRS, LAAS, 7 Avenue Du Colonel Roche, F-31077 Toulouse, France | ||
| 593 | |a Université de Toulouse, UPS, LAAS, F-31077 Toulouse, France | ||
| 690 | 1 | 0 | |a ASYMPTOTIC BEHAVIORS |
| 690 | 1 | 0 | |a BANDWIDTH ALLOCATIONS |
| 690 | 1 | 0 | |a COMMUNICATION NETWORKS |
| 690 | 1 | 0 | |a COMPLEX INTERACTION |
| 690 | 1 | 0 | |a MULTI-CLASS |
| 690 | 1 | 0 | |a PERFORMANCE ANALYSIS |
| 690 | 1 | 0 | |a PERFORMANCE MEASURE |
| 690 | 1 | 0 | |a SIMPLE NETWORKS |
| 690 | 1 | 0 | |a STOCHASTIC NATURE |
| 690 | 1 | 0 | |a TIME-SCALES |
| 690 | 1 | 0 | |a TIME-SPACE |
| 690 | 1 | 0 | |a DIFFERENTIAL EQUATIONS |
| 690 | 1 | 0 | |a QUALITY OF SERVICE |
| 690 | 1 | 0 | |a TRAFFIC CONGESTION |
| 700 | 1 | |a Núñez-Queija, R. | |
| 700 | 1 | |a Prabhu, B.J. | |
| 711 | 2 | |c Amsterdam |d 7 September 2010 through 9 September 2010 |g Código de la conferencia: 82730 | |
| 773 | 0 | |d 2010 |p Int. Teletraffic Congr. - Proc., ITC |n 2010 22nd International Teletraffic Congress - Proceedings, ITC 22 |z 9781424488360 |t 2010 22nd International Teletraffic Congress, ITC 22 | |
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| 856 | 4 | 0 | |u https://doi.org/10.1109/ITC.2010.5608726 |y DOI |
| 856 | 4 | 0 | |u https://hdl.handle.net/20.500.12110/paper_97814244_v_n_p_Jonckheere |y Handle |
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