Wavelet-Based Resource Allocation in ATM Networks
نویسنده
چکیده
In recent years, numerous publications have identi ed a high number of tra c sources to be of self-similar nature. Such tra c can have a negative impact on traditional queuing systems. This paper presents a call admission control algorithm that uses periodic wavelet analysis applied to tra c measurements to estimate the amount of resources necessary to support a certain set of connections under quality-of-service constraints. This algorithm even exploits correlated tra c. Extensive simulation results illustrate the performance of the algorithm over a large parameter spectrum (Hurst parameter, load, and intensity), and the results consistently show that the higher the Hurst parameter, the higher the statistical gain.
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