Traffic Model for Teleconsultation Based on the Service Characteristics

Abstract

The rapid development of numerous emerging network services poses a challenge to the network resources allocation with their bandwidth requirements and statistical characteristics. Network traffic modeling plays an important role in network resources allocation which can be used to guarantee Quality-of-Service (QoS) of these new services. In this study, we analyzed the service composition and traffic characteristics of the spreading teleconsultation service and establish a traffic model. The obtained experimental results show that the proposed methodology which combines discrete autoregressive model (DAR) and wavelet analysis provides good accuracy in teleconsultation service traffic modeling. Keywords-service traffic model; video traffic; discrete autoregressive model; wavelet model I. As Figure 1 shows, teleconsultation service provides video communication, medical images and teleconsultation text transmission between patient and doctor. Teleconsultation holds about ten to fifteen minutes. At the beginning of the teleconsultation process, medical images are transmitted and then there will be teleconsultation text transmission. Video transmission occurs throughout the process, so it is obvious that