Figure 1 - uploaded by Haris Suljić
Content may be subject to copyright.
Source publication
Modern technology requires reliable, fast, and cheap networks as a backbone for the data transmission. Among many available solutions, switched Ethernet combined with Time Sensitive Networking (TSN) standard excels because it provides high bandwidth and real-time characteristics by utilizing low-cost hardware. For the industry to acknowledge this t...
Contexts in source publication
Context 1
... Ethernet exploits high bandwidth, scalability, and cost efficacy of Ethernet and provides full-duplex links, temporal reliability, bounded delays and low jitter. The network topology of conventional Ethernet and switched Ethernet are presented in Figure 1. The main difference between shared Ethernet and switched Ethernet is the usage of a switch instead of a hub. ...
Context 2
... can be selected by changing the transmission selection algorithm to "CreditBasedShaper" which is done through tsAlgorithms module. Figure 10 contains mentioned modules. Modules emphasized by an ellipse are responsible for TAS, while the modules within the rectangle implement CBS. Figure 11 presents the modules responsible for frame preemption. ...
Context 3
... emphasized by an ellipse are responsible for TAS, while the modules within the rectangle implement CBS. Figure 11 presents the modules responsible for frame preemption. After the frame goes through the gate it exits the queing module and can use either express or preemptable path. ...
Context 4
... goal of this scenario is to present the functionality of gating to ensure low and deterministic end-to-end latency for scheduled traffic. Network topology is presented in Figure 12. The model consists of three end systems and one switch. ...
Context 5
... mechanism ensures protected window in which scheduled traffic transmits, unprotected window in which best-effort data transmits and guard band window in which all the gates are closed in order to guarantee that BE traffic transmission will not interfere with ST traffic transmission [31]. End-to-end latency is presented in Figure 13. It is shown that scheduled traffic has a constant latency of 16.72µs. ...
Context 6
... node constantly generates MTU packets so the utilization is high. Figure 14 graphically presents traffic flow on its way to the destination. Scheduled traffic directly goes towards switch input port eth [0] after which it is forwarded to the appropriate output port eth [2]. ...
Context 7
... this case, it is used in conjunction with the credit-based shaper. Network topology for this scenario is shown in Figure 15. There are two types of traffic transmitted through this network. ...
Context 8
... for best-effort traffic is set to StrictPriority. End-to-end latency is presented in Figure 16. The first graph shows traffic end-to-end latency for first 100ms. ...
Context 9
... from the switch to the Sink is 98.5128%. Figure 17 presents execution trace for this scenario. Audio-video traffic uses the port eth [0] as an input port. ...
Context 10
... traffic is delayed by credit-based shaper, so frame preemption does not reduce the latency of frames with higher priority. Scenario 3 topology is presented in Figure 18. It consists of four end nodes, AV node which generates 1400B traffic constantly, BE node which generates MTU packets throughout entire simulation, ST generates 20B traffic periodically every 500ms, and Sink node that receives all the traffic. ...
Context 11
... mechanism ensures the protected window length of 17µs when only ST gate is open, unprotected window length of 360µs when AV and BE gates are open and maximum guard band length of 123µs when all the gates are closed. Figure 18: Scenario 3 -network topology Figure 19 shows the trend of end-to-end latency for every traffic type throughout simulation time. ...
Context 12
... mechanism ensures the protected window length of 17µs when only ST gate is open, unprotected window length of 360µs when AV and BE gates are open and maximum guard band length of 123µs when all the gates are closed. Figure 18: Scenario 3 -network topology Figure 19 shows the trend of end-to-end latency for every traffic type throughout simulation time. ...
Similar publications
Programmable data planes recently emerged as a prominent innovation in Software Defined Networking (SDN). They provide support for stateful per-packet/per-flow operations over hardware network switches specifically designed for network processing. Unlike early SDN solutions such as OpenFlow, modern stateful data planes permit to keep (and dynamical...
Citations
... Data is classified into 8 classes, which correspond to the 8 priorities set by the 2 PCP value of the VLAN tag. The details of traffic classes and the priorities assigned to the class are presented in [5] [6] [7]. To simulate TSN topology and check the performance of the network simulation tools like OMNET's CoRE4INET [8] [9], Riverbed [10], NeSTiN g [11][5] [27], NS-3 [12], TSNS [7],DeNS [13]are available. ...
... When the arrival of periodic time-critical data is known the GCL pattern can be efficiently designed. As the nodes and bridges in the TSN network can be time-synchronized using IEEE 802.1AS [5][17] [18] [19][20] [21], the 802.1Qbv can be effectively used for critical data delivery. We have assumed that each port of a TSN switch consists of 8 queues. ...
... Haris Suljic [5], does the performance analysis of TSN by considering IEEE 802.1Qbv, IEEE 802.1Qu, and Credit-based shaper. ...
Time-Sensitive Networking (TSN) is an emerging technology, which enables advancements in applications like industrial automation, automatic vehicle-to-vehicle communication, etc. which hosts various time-critical applications, ensuring bounded latency. The novel idea of this paper is to present OMNET++ simulation-based complex multi-hop TSN network using the native VLAN concept to bring out a cost-effective model for inter-TSN and Intra-TSN domains. This paper investigates the performance of hybrid IEEE standards, ie.IEEE 802.1Qbu and IEEE 802.1Qbv standards. The simulation results show that the combination of these standards, when effectively scheduled in switches will reduce the latency by 3.3 µseconds in time-critical applications. Further, it is observed that in Best effort traffic, frame loss is also very less in the range of 2-5 frames out of 1385 frames. These results certainly will be of great value in more complex TSN deployments.
... The TSN standardization process is still under development and not fully distributed in the market yet. However, some simulations demonstrating the operation of TSN communication have been conducted via the Omnet++ open-source network simulator [68]. Suljic H. and Muminovic M. (2019) [68] developed a performance study and analysis of time-sensitive networking, where they tested up to five scenarios using the Omnet++ network simulator. ...
... However, some simulations demonstrating the operation of TSN communication have been conducted via the Omnet++ open-source network simulator [68]. Suljic H. and Muminovic M. (2019) [68] developed a performance study and analysis of time-sensitive networking, where they tested up to five scenarios using the Omnet++ network simulator. In our study, we have not conducted any simulation for the TSN concept using Omnet++. ...
The Industrial Internet of things (IIoT), the implementation of IoT in the industrial sector, requires a deterministic, real-time, and low-latency communication response for its time-critical applications. A delayed response in such applications could be life-threatening or result in significant losses for manufacturing plants. Although several measures in the likes of predictive maintenance are being put in place to prevent errors and guarantee high network availability, unforeseen failures of physical components are almost inevitable. Our research contribution is to design an efficient communication prototype, entirely based on internet protocol (IP) that combines state-of-the-art communication computing technologies principles to deliver a more stable industrial communication network. We use time-sensitive networking (TSN) and edge computing to increase the determinism of IIoT networks, and we reduce latency with zero-loss redundancy protocols that ensure the sustainability of IIoT networks with smooth recovery in case of unplanned outages. Combining these technologies altogether brings more effectiveness to communication networks than implementing standalone systems. Our study results develop two experimental IP-based industrial network communication prototypes in an intra-domain transmission scenario: the first one is based on the parallel zero-loss redundancy protocol (PRP) and the second one using the high-availability seamless zero-loss redundancy protocol (HSR). We also highlight the benefits of utilizing our communication prototypes to build robust industrial IP communication networks with high network availability and low latency as opposed to conventional communication networks running on seldom redundancy protocols such as Media Redundancy Protocol (MRP) or Rapid Spanning Tree Protocol (RSTP) with single-point of failure and delayed recovery time. While our two network communication prototypes—HSR and PRP—offer zero-loss recovery time in case of a single network failure, our PRP communication prototype goes a step further by providing an effective redundancy scheme against multiple link failures.
