| Z. Cao and E. Zegura. ABR Service for Applications with Non-Linear Bandwidth Utility Functions. In Proceedings of IEEE ICNP97, Oct. 1997. |
....utility (d) Stepwise utility Fig. 1. Utility functions for different application classes In previous work, we have observed that the nonlinearity in application utility also comes from the fact that an application may not be able to adjust to an arbitrary bandwidth offered by the network [6]. Thus, the application utility functions may not continuously increase or decrease as the available bandwidth changes. Such an application may have a utility that has a linear envelope, but is characterized by a stepwise function, e.g. as shown in Figure 1(d) A new bandwidth allocation policy ....
....total utility of the system, which is the sum of utility of vc0 to vc4. From these results, we can see that the overall system utility is comparable for bandwidth and utility max min allocations. In related work, we have developed a bandwidth allocation scheme that maximizes total system utility [6]. In [11] R. Jain et al. propose a fairness index to quantitatively express the fairness of a system. If a system allocates resources 6 0 0.2 0.4 0.6 0.8 1 0 200 400 600 800 1000 Available Bandwidth (kb s) Utility Function 0 Utility Function 1 0 0.2 0.4 0.6 0.8 1 0 200 400 600 ....
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Z. Cao and E. Zegura. ABR Service for Applications with Non-Linear Bandwidth Utility Functions. In Proceedings of IEEE ICNP97, Oct. 1997.
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