A Simple Formula for End-to-End Jitter Estimation in Packet-Switching Networks

Abstract

In this paper, an analytic approximation is derived for the end-to-end delay-jitter incurred by a periodic traffic with constant packet size. It is assumed that the periodic traffic is multiplexed with a background packet stream under the FCFS service discipline in each queue along the path to its destination. The processes governing the packet arrivals and the packet sizes of the background traffics are assumed to be general renewal processes. A very simple analytical approximation is derived and its accuracy is assessed by means of event-driven simulations.

Monitoring Jitter in Software Defined Networks

“…This behaviour is the result of various characteristics of the traffic at different network nodes. According to previous works [3], it can be accounted for by the difference in the in-time and out-time of packets at each node.…”

“…In [3], a strong mathematical formulation for the end-to-end jitter is discussed with the assumption of periodic traffic. The end-to-end jitter is given by the expected absolute value of the sum of inter-packet delay variations introduced by each node along the path.…”

“…Previous works [3] mention the idea that the end-to-end jitter can be modelled as the amount of variation each node in the network adds to the flow. Using SDN controllers we can collect real-time statistics such as the count of packets/bytes that have passed through a port for a particular flow.…”

A middleware for dynamic and adaptive vehicle-to-ground communications management

“…They are not designed to manage and monitor de status of networks, so that network circumstances influence decisively in applications communications performance [9]. Therefore, in order to address this kind of problems, this paper presents a work that addresses the need to design an intermediate system or middleware [10] that allows you to manage such issues abstracting applications about aspects related to communications mechanisms, as well as establishing communications prioritization mechanisms taking into account network conditions [11], responding at the same time to applications QoS requirements [12] (bandwidth, transmitted information criticality, etc. ), thereby increasing the overall system performance [13].…”

Server allocation for massively multiplayer online cloud games

“…Jitter can be given by the expected absolute value of the sum of inter-packet delay variations introduced by each node along the path between the source and the destination [100]:…”