A new Bandwidth Estimation Approach for Fractal Processes

Recent extensive traffic analyses carried out over different network technologies have shown network traffic in its "monofractal" or "multifractal" nature as well as in its impact on network performance. Based on the results of these "monofractal" and "multifractal" traffic studies we introduce a new traffic parameter, capable of simultaneously expressing both "monofractal" and "multifractal" characteristics. This traffic characterization parameter is used for the design of more accurate effective bandwidth estimation approaches. In order to achieve a general and good methodology for effective bandwidth estimation for given traffic when the QoS requirements is take into account, we propose a broader optimization procedure. For the validation of the proposed effective bandwidth estimation approach, we intensely performed tests using real traffic traces and simulations. The obtained analytical and experimental results clearly indicate that the proposed bandwidth estimation approach for fractal traffic processes satisfies the QoS requirements for all analyzed traffic traces.