IPTV traffic management method
Main Article Content
Abstract
Analysis of the known methods of traffic management IPTV shows that most of them do not provide the desired uniformity of loading networks due to the fact that they do not take into account the nature of the self-similarity of network traffic. Built on the basis of a mathematical model of timing variation of packet delivery time takes into account the delay in the transmission between devices on the network, the delay time for each intermediate switch network and additional time delay switch boot, but does not account for the fractal nature of the process in the network.
The known mathematical model for spread of packet-based timing also does not account for fractal process in network IPTV.
The aim is to advance the formation of the forecast estimates the delay for various times. To solve this problem we propose a mathematical model to evaluate the prognosis of self-similar traffic based IPTV and based on that new mathematical model (proactive) the method of traffic management IPTV. Optimal forecast estimate the delay for a particular point in time, defined with respect to the parameter of self-similarity or Hurst. Simulation modeling of IP networks has shown that the proposed method of traffic management IPTV works effectively with the introduction of two additional thresholds assessing prognosis delays.
Ref. 9.
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