Traffic Model for Layered Video: an Approach on Markovian Arrival Process
نویسندگان
چکیده
Video transmission usually has stringent requirements on the network bandwidth, packet loss rate and the experienced delay. To better study the impact of layered video traffic on the network performance, accurate and tractable traffic model for layered video source is important. In this paper we propose a traffic model for scalable video encoded in multiple layers. The model is based on Markovian arrival process with marked transitions. The states of the Markovian arrival process are derived from the correlation feature found in the video data. The base layer and enhancement layer video frame size pairs are classified by cluster detection algorithm. Each cluster corresponds to one state of the underlying Markov chain of the video traffic arrival process. The joint base and enhancement layer video frame size distribution for each state of the Markov chain is approximated by multivariate normal distribution. Simulation study shows that the proposed traffic model can predict the network performance with high accuracy.
منابع مشابه
Traffic modeling for layered video
In this paper we propose a traffic model for delivering scalable video encoded with multiple layers on heterogeneous networks. The model is based on Markovian arrival process with marked transitions. The state of the underlying Markov chain of the video arrival process is derived from the correlation feature found in the video data. The base layer and enhancement layer video frame size pairs ar...
متن کاملANALYSIS OF FINITE BUFFER RENEWAL INPUT QUEUE WITH BALKING AND MARKOVIAN SERVICE PROCESS
This paper presents the analysis of a renewal input finite buffer queue wherein the customers can decide either to join the queue with a probability or balk. The service process is Markovian service process ($MSP$) governed by an underlying $m$-state Markov chain. Employing the supplementary variable and imbedded Markov chain techniques, the steady-state system length distributions at pre...
متن کاملMulti-time-Scale Traffic Modeling Using Markovian and L-Systems Models
Traffic engineering of IP networks requires the characterization and modeling of network traffic on multiple time scales due to the existence of several statistical properties that are invariant across a range of time scales, such as selfsimilarity, LRD and multifractality. These properties have a significant impact on network performance and, therefore, traffic models must be able to incorpora...
متن کاملPerformance analysis of statistical multiplexing of heterogeneous discrete-time Markovian arrival processes in an ATM network
The cell loss probability and the mean cell delay are major performance metrics in analyzing a statistical multiplexer loaded with a superposition of independent and heterogeneous bursty sources. In this paper, we model each arrival process by a two-state discrete-time Markovian arrival process (D-MAP). We discuss that this traffic modeling is more realistic than the other ones in ATM networks....
متن کاملApproximate Model for Merging Markovian Arrival Processes
Traffic-based decomposition models encompass procedures required for modelling of the basic network operations of superposition, departure and splitting, arising due to the common sharing of the resources and routing decisions taking place in packetswitched networks. It is desirable to study such models for Markovian Arrival Processes (MAPs), as these processes are able to match correlations an...
متن کامل