Search for dissertations about: "TSN"
Showing result 1 - 5 of 8 swedish dissertations containing the word TSN.
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1. Enhancing TSN Adoption by Industry : Tools to Support Migrating Ethernet-based Legacy Networks into TSN
Abstract : New technologies present opportunities and challenges for industries. One major challenge is the ease, or even feasibility, of its adoption. The Time-Sensitive Networking (TSN) standards offer a range of features relevant to various applications and are key for the transition to Industry 4.0. READ MORE
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2. End-to-end QoS Mapping and Traffic Forwarding in Converged TSN-5G Networks
Abstract : The advancement of technology has led to an increase in the demand for ultra-low end-to-end network latency in real-time applications with a target of below 10ms. The IEEE 802.1 Time-Sensitive Networking (TSN) is a set of standards that supports the required low-latency wired communication with ultra-low jitter for real-time applications. READ MORE
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3. Configuring and Analysing TSN Networks Considering Low-priority Traffic
Abstract : The IEEE Time-Sensitive Networking (TSN) standards offer a promising solution to deal with the challenge of supporting high-bandwidth, low-latency, and predictable communication in distributed embedded systems. Although TSN provides a gate mechanism to support the low-jitter transmission of high-priority time-triggered traffic, it also brings complexity to the network design as the configuration of such mechanism together with support for low-priority transmission is non-trivial. READ MORE
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4. Configuration and Timing Analysis of TSN-based Distributed Embedded Systems
Abstract : The set of IEEE Time-Sensitive Networking (TSN) standards is an emerging candidate for backbone communication in modern applications of real-time distributed embedded systems. TSN provides various traffic shaping mechanisms that aim at managing the timing requirements of traffic. READ MORE
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5. Synthesis of Safety-Critical Real-Time Systems
Abstract : Modern safety-critical real-time systems are becoming more and more complex, due to sophisticated applications such as advanced driving assistance, automated driving, advanced infotainment, and applications involving machine learning and deep learning. This has led to increased requirements for the communication infrastructures. READ MORE