By Anna Charny, Jean-Yves Le Boudec (auth.), Jon Crowcroft, James Roberts, Mikhail I. Smirnov (eds.)
The papers during this publication current a number of viewpoints at the layout and - plementation of recommendations for QoS engineering for net services.They have been chosen from greater than 70 submissions to the first foreign workshop on “Quality of destiny web prone” (QofIS) geared up via price motion 263. the focus of the papers is at the construction, con?guration and deployment of end-to-end providers over a QoS guaranteed net utilizing the IntServ (Integrated prone) and Di?Serv (Di?erentiated prone) types. the most technical p- gramme used to be accomplished by way of keynote talks: IETF Chair Fred Baker opened the workshop with a dialogue on significant net improvement instructions and Andrew M. Odlyzko of AT&T Labs learn gave the last speak on web charging concerns. The presentation of papers was once organised in nine classes. The emphasis of consultation 1 is on an evaluation of the fundamental construction blocks for a QoS guaranteed net, i.e., queueing and scheduling, which essentially de?nes the gap for end-to-end providers. The papers of this consultation talk about the boundaries we may perhaps anticipate from those development blocks, the problems of queueing and scheduling administration, and the parameters we have to song in a dynamic implementation. move regulate and congestion keep an eye on can't be thought of with out regard to the dominating influence of TCP. The key-phrase of consultation 2 is, as a result, Intern- pleasant version. 4 papers during this consultation are complementary and jointly current an rising figuring out of a simple optimum zone for such adaptation.
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Additional info for Quality of Future Internet Services: First COST 263 International Workshop, QofIS 2000 Berlin, Germany, September 25–26, 2000 Proceedings
Sample text
6) and (10), −λβ λβ . −µ J(q ∗ ) = −λpmax ∗ 2 Tmax − Tmin (1 + q ) Inserting the elements of the above in (11) we obtain the condition for the discriminant, D, D= −λβ + µ (1 + q ∗ )2 2 − 4λ2 βpmax ≥ 0. Tmax − Tmin (15) Modeling the Dynamics of the RED Algorithm 5 37 Numerical Studies Here we examine via numerical examples the results obtained in Sections 3 and 4. We will compare the numerical results given by our models against simulated results. 002, as has been suggested in the literature.
100 100 80 80 60 60 40 40 20 20 500 1000 1500 2000 2500 3000 500 1000 1500 2000 2500 3000 Fig. 2. The solution of ODE (5) (solid curves) and simulation results (dashed curves). 2 sin(2πt/T ), where T = 1000. Other parameters were as previously. The results are shown in Figures 3. The figure on the left depicts ρ(t), the middle figure shows s¯ and q¯ is shown in the right figure. Again, simulated results are shown with dashed curves and the solutions to the ODE correspond to the solid curves. The results show that the ODEs are able to capture the behavior of the system even under a time varying load.
8 1 pmax Fig. 5. The allowable regions for (pmax , β) for different values of ρ (the unit of the y-axis is 1000 · β) Then we illustrate the importance of a particular combination of RED parameters, namely pmax /(Tmax − Tmin), on the performance. 2 (as is suggested in the literature). Then we 40 Pasi E. Lassila and Jorma T. 5 1000 D 1000 D plot the value of the discriminant eq. 0]. 0, respectively. As we can see the value of the discriminant is negative when Tmax is close to the value of Tmin , indicating that the system has oscillations.
