Symbolic Function Network: Application to Telecommunication Networks Prediction

Symbolic Function Network: Application to Telecommunication Networks Prediction

George S. Eskander (ETS, Quebec University, Canada) and Amir Atiya (Cairo University, Egypt)
DOI: 10.4018/978-1-4666-2175-6.ch011
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Abstract

Quality of Service (QoS) of telecommunication networks could be enhanced by applying predictive control methods. Such controllers rely on utilizing good and fast (real-time) predictions of the network traffic and quality parameters. Accuracy and recall speed of the traditional Neural Network models are not satisfactory to support such critical real time applications. The Symbolic Function Network (SFN) is a HONN-like model that was originally motivated by the current needs of developing more enhanced and fast predictors for such applications. In this chapter, the authors use the SFN model to design fast and accurate predictors for the telecommunication networks quality control applications. Three predictors are designed and tested for the network traffic, packet loss, and round trip delay. This chapter aims to open a door for researchers to investigate the applicability of SFN in other prediction tasks and to develop more accurate and faster predictors.
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Background

There are many problems faced in transporting multimedia streams, such as real-time video or audio over networks that offer no service guarantees. The majority of these problems originate from the delay-sensitive nature of multimedia content. Irrespective of the method used to transport media content over an IP network, there is a strict timing sequence that must be used by the decoder during playback. For acceptable playback experience, all relevant packets must be available at the destination for assembly when needed and in the correct sequence. An obvious and simple solution to this problem is destination-side buffering and more recently, edge-caching. The trade-off of this approach is that the media content is not delivered to the destination in real-time or even in near real-time. Even though many media applications, such as streaming and on-demand video and audio, are tolerant to such large delays in delivery, there are numerous applications that require real-time or near real-time media delivery, such as gaming, conferencing, and telephony applications.

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