Abstract
This paper presents a method for adjusting the level of services offered by the network with quality of service differentiation for the long-term characteristics of a transmitted video stream. The Drop Precedence (DP) field located in the header of IP packet for this purpose was used.The DP field is set dynamically, based on the measurement of the long-term properties of a source video stream entering the network. The level of traffic perturbations present in a stream is expressed by the Hurst parameter, and then mapped to the size of a priority encoded in the DP field. By that means, an adaptive differentiation of the preferences of individual streams within the same AF PHB class of service is implemented, depending on the size of perturbations existing in the flow. The use of the long-term Hurst parameter, as a criterion of classification, makes the treatment of packets marked with a given priority value does the job well on a larger time scale.
Highlights
For some time we have observed rapid development of multimedia applications, which necessitates increasing quality of service (QoS) guarantee offered by a network
There is a fundamental difference between the existing methods of QoS provided
DiffServ model, stream assignment to the class of service, and setting the preferences within the class done by hand and this is a static operation
Summary
For some time we have observed rapid development of multimedia applications, which necessitates increasing quality of service (QoS) guarantee offered by a network. We can try to adjust a transmission path to the video stream To achieve this goal, the use of perturbations measure in the form of a long-term Hurst parameter [14, 15] in this paper was proposed. The use of perturbations measure in the form of a long-term Hurst parameter [14, 15] in this paper was proposed On this basis, the packets can be processed adaptively at each node along the transmission path. The DSCP field is used by the routers capable of differentiating between the DiffServ traffic, and the concept of improving the quality of service proposed in this paper can be seen as an extension of the DiffServ model [19].
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