Fast ReRoute Model with VoIP Quality of Experience Protection

Enhancement of the adaptive routing tensor model in the infocommunication network with providing quality of experience by the R-factor

“…When using flow-based routing models, a more detailed account of both the characteristics of packet flows and ICN parameters, for example, bandwidth of communication links, is provided, which improves the efficiency of load balancing in terms of QoE. One of the relatively new directions in the mathematical modelling of routing processes is the use of the tensor approach, which has established itself as an effective means of a holistic and multi-faceted description of ICN [20,21]. Therefore, in this work, let's choose a flow-based routing model with its subsequent tensor generalization to obtain conditions for ensuring QoE in terms of the R-factor with control of the end-to-end delay and packet loss probability.…”

“…In the entered n-dimensional space, the infocommunication network for each individually selected packet stream, for which it is necessary to obtain conditions for quality of service, can be described using a mixed divalent tensor [21][22][23]:…”

“…And although the use of tensor models complicates both the mathematical description of the problem and its solution, such difficulties are compensated (in comparison with the known analogues) by the effectiveness of route decisions in relation to the level of quality of service. A characteristic feature of the tensor QoE routing models described in [20,21] is the non-adaptive nature of the solutions, when during routing, load balancing is carried out along the whole set of available routes. This significantly narrows the scope of such solutions, limiting it to ICN overload.…”

Model of Data Traffic Qos Fast Rerouting in Infocommunication Networks

“…Lemeshko [16,17] to protect the level of Quality of Service through the bandwidth and average end-to-end packet delay, which is particularly important when serving multimedia flows. In addition, [18] proposed a solution to the problem of fast rerouting of VoIP flows with protection of the Quality of Service, which is perceived at the level of the user (Quality of Experience, QoE), according to the quality rating R. On the other hand, for data traffic is not critical the controlling of the growth of packet delay, but it is important to ensure that it has an acceptable packet loss rate [19,20]. Therefore, the aim of the work is the development of a mathematical model of Fast ReRouting with the protection of the Quality of Service level by bandwidth and packet loss probability for data traffic.…”

“…The analysis performed [4, 1114] showed that this was generally concerned with the protection of network bandwidth, which is one of the main QoS indicators. However, a priority area for the development of fast rerouting facilities, especially in multiservice infocommunication networks (ICNs), is to expand the list of Quality of Service indicators for which values are protected along the primary path with adequate reservation of the network resource [15][16][17][18][19]. Reserving network bandwidth, as a primary Quality of Service indicator, should be complemented by the protection of other key QoS indicators, such as average delay, jitter, and packet loss, which is especially important when transmitting multimedia traffic.…”