Smooth Bandwidth Allocation using multiple state decision mechanism

A novel approach for Smooth Bandwidth Allocation (SBA) is proposed in this paper that uses multiple state decision mechanism to eliminate large fluctuations in the allocated bandwidth. This algorithm is a dynamic bandwidth allocation that predicts the requirement bandwidth for the input traffic according to its arrival traffic and the SLA constrains. Major contribution of proposed algorithm is minimizing the number of long fluctuations and variance of allocated bandwidth using a finite state which has five states. Simulation experiences show that SBA algorithm decrease 20%-45% allocated bandwidth variance in contrast to similar methods, also decrease number of long fluctuation to 30-45% similar methods while algorithm precision is high and queuing delay is low. Different self similar traffic models are used in this experience.

کلیدواژه ها:

Multiple state decision system ، Wavelet transforms ، QoS ، fluctuation ، self similar traffic model