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Title |
A New Scalable Estimation for the Logarithmic Moment Generating Function of Network Traffic Flows |
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Author |
Jozsef Biro |
| Citation |
Vol. 7 No. 12 pp. 140-145 |
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Abstract |
Logarithmic moment generating functions play important role in network performance evaluation, especially in the application of large deviation type statistical inequalities for bounding and approximating quality of service measures (like transmission link saturation, buffer overflow rate, or traffic loss ratio due to these resource saturations). In this paper we present a new scalable method for upper bounding the logarithmic moment generating functions, primarily based on conditional zero order and first order statistics of the underlying traffic flows. The power of this new method compared to previously known ones from the literature is also demonstrated through numerical examples. |
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Keywords |
Logarithmic moment generating functions, effective bandwidth, polygonal approximation |
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