Network Calculus Approach for Packet Delay Variation Analysis of Multi-Hop Wired Networks

The Industrial Internet of Things (IIoT) has revolutionized businesses by changing the way data are used to make products and services more efficient, reliable, profitable. To achieve improvement goals, IIoT must guarantee real-time performance industrial applications such as motion control, providing stringent quality service (QoS) assurances for their (industrial applications) communication networks. An application or may malfunction without adequate network QoS, resulting in potential product failures. Since an acceptable end-to-end delay low jitter packet variation (PDV) closely related (QoS), impact is significant ensuring applications. Although a topology ensures certain levels, its real-life affected dynamic traffic due number devices, services, present network. Hence, it essential study experienced presence background how can be maintained within limits ensure level QoS. This paper presents probabilistic calculus approach that uses moment-generating functions analyze PDV incurred flows interest wired switched multi-stage presented work derives closed-form, end-to-end, bounds several servers series traffic. analysis conducted with help Markovian model showed parameters from significantly under controlling shape For studied configurations, change bound 1 ms 100 ms. results indicated possibility using shaper Thus, beneficial QoS