Fuzzy logic queue discipline processing over bottleneck link

Traffic congestion occurs inevitably in aggregated channel when access networks connect to transport network over a bottleneck data transmission link. The reason of congestion is a lack of bandwidth and continuously customer requirements growth in transmission rate to network content. In this article is investigated influence of data transmission link parameters, as an available bandwidth and packet transmission delay, to queue discipline processing in access router. Fuzzy logic controller (FLC) is considered as an active queue management discipline processing with explicit congestion notification (ECN). Traffic congestion is simulated in a bottleneck link between two routers in Network simulator-2 (NS-2) software. Queue discipline processing was estimated by calculation the quality of service indicators: packets loss, average packet delay and packet delay variation. Statistical analysis of simulation result have given the possibility to define dependence between the quality of service indicators and the data link parameters applicable to considered queue discipline

A hysteretic model of queuing system with fuzzy logic active queue management

We consider a data transmitting system with an active queue management designed to prevent overloading, where fuzzy logic controller is used.We developed a mathematical model that takes into account the features of the data transfer system with an active queue management, which keeps the queue length in the range of values close to a given reference value of the queue length. The method of hysteretic control for incoming load with two thresholds was used as a basis of the model. The mathematical model is a queuing system with a threshold control, which is designed for the analysis of the possibility of hysteresis in modeling of systems with active queue management. The model was described by a Markov process, for which the numerical solution of the equilibrium equations was obtained, steady state probabilities were calculated. The main probabilistic measures are the following: the mean value and the standard deviation of a queue length, and the probability for the queue length of being within the specified limits from the reference value. The numerical analysis in the load range, which includes a system overload, indicated the adequacy of the constructed mathematical model with hysteretic control and system with an active queue management based on fuzzy logic controller. The proposed fuzzy logic method was implemented for Linux kernel and the test results show better quality of service parameters than other tested methods

A Study of Influencing Factors on the Quality of Experience Perception in Video Streaming

Video Services using Over-The-Top (OTI) becomes extremely popular in all countries but video streaming through unguaranteed path in Internet cause a lot of problems of keeping the Quality of Experience (QoE) on a suitable level In the previous works of authors the influence of Quality of Service (QoS) parameters on QoE were studied using subjective assessment. As a result of this study objective QoE metrics: the frequency and duration of re-buffering were chosen as main parameters of customer perception. The dependency of these metrics from QoS parameters were obtained for separate inftuence factors (packet loss, delay, bitrate). In this paper the results of studies of complex influencing factors on QoE are presented. Combination of the inftuencing QoS factors cause the degradation of the threshold after which re-buffering starts. The comparison of resistance to complex influencing factors for different video streaming technologies (Pseudo-HTIP streaming, R and HDS)were done.The results of comparison show that different streaming technologies react on combination of packet loss, throughput and delays in a various ways. The recommendations for using video streaming technologies with OTT are done

TCP is Bottleneck of Video Streaming via OTT

Video Services using Over-The-Top (OTT) becomes extremely popular in all countries but video streaming through unguaranteed path in Internet cause a lot of problems to keep the Quality of Experience (QoE) on a suitable level. In the previous works of research, the influence of Quality of Service (QoS) parameters on re-buffering effect were done. Here we continue this research for video with higher resolution 1080p, 2K or also 4K. The primary purpose of this research is to investigate how delay and packet loss influence on re-buffering effect in HLS, RTMP and MPEG-DASH streaming protocols delivering high resolution video