Analysis of an ATM multiplexer under self-similar traffic |
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Authors: | Du Xu Lemin Li |
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Affiliation: | (1) University of Electronic Science and Technology of China, 610054 Chengdu |
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Abstract: | Recent empirical studies of the real traffic measurement show that the traditional traffic models cannot capture the character of long-range dependence of the traffic. And many computer simulations said that this character has large influences on the network performance. So fractal or self-similar models are more suitable to describe the modern traffic. But there is still little known about the performance of the multiplexer under self-similar traffic. In this paper, a quasi-self-similar traffic model (QSSP) is proposed. Using this model, the upper bond of the cell loss rate and multiplexing gain of the multiplexer are gotten when there are N i.i.d. QSSP inputs. If the sources have different parameters, an efficient numerical algorithm to get, this bond is proposed. Simulations indicate that our analysis is correct and accurate. |
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Keywords: | Long-range dependence Self-similar process Fractal Gaussian noise Multiplexer Cell loss rate |
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