Conference Papers

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    Queuing Policies for Enhanced Latency in Time Sensitive Networking
    (Institute of Electrical and Electronics Engineers Inc., 2020) Basumatary, C.; Satheesh, H.
    Time Sensitive Networking (TSN) is evolving with Industry 4.0 to enable deterministic ethernet communication in IEEE 802 networks. As many as 11 parts of IEEE 802 standard describes TSN features. TSN is getting adapted in wide range of applications such as Audio Video Bridging (AVB), Automotive, Aerospace, Industrial Automation etc., The major feature of TSN is to enable deterministic communication of time critical traffic while the best effort traffic sharing the same network. The traffic is prioritized based on the time-sensitivity of the information. The time-critical and best effort traffic are handled by independent processes in a Linux based TSN system. This paper describes an approach for enhancing latency by optimal selection of priorities, scheduling policies and CPU affinities of these processes. IEEE Standard 802.1Qbv introduces the concept of Time Aware Shaping (TAS) for improving determinism in TSN system. The proposed approach is to select these process settings in an optimal manner along with other TSN features namely, time synchronization and TAS. Experimental results are presented with summary of the observation. © 2020 IEEE.
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    On the Importance of Traffic Control Subsystem in ICN-based Industrial Networks
    (IEEE Computer Society, 2020) Nagaraj, A.H.; Kataria, B.; Sohoni, A.; Tahiliani, M.P.; Tandur, D.; Satheesh, H.
    The Industrial Automation Control Systems (IACS) are currently dominated by IP-based protocols. Industry 4.0 demands an efficient and scalable networking infrastructure that facilitates data sharing to drive operational improvements and develop business intelligence. The deterministic requirements in industrial networks have led to the emergence of a new IEEE standard in the form of Time-Sensitive Networking (TSN). TSN enables having an upper bound on the latency of data communication, thereby partially fulfilling the requirements of Industry 4.0. However, TSN alone cannot provide the level of determinism required in industrial networks. The efficiency of the layers above TSN can significantly affect the network performance. Information Centric Networking (ICN), which contrasts with IP-based protocols by focusing on the data rather than on the endpoints, is emerging as a promising network layer paradigm. In this paper, we evaluate what it takes for ICN to be integrated with IACS, and thereby meet the requirements of industrial networks. © 2020 IEEE.
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    Empirical Evaluation of Traffic Shaping Algorithms for Time Sensitive Networking
    (Institute of Electrical and Electronics Engineers Inc., 2022) Naik, K.; Kumari, D.; Tahiliani, M.P.
    Standard Ethernet networks cannot provide solutions to handle latency sensitive applications efficiently. The packet scheduling algorithms like First In First Out (FIFO), Class Based Queueing (CBQ), and others do not provide efficient solutions to Quality of Service (QoS) parameters like end-toend delay, packet loss, and jitter. Time Sensitive Networking (TSN) can be used as a solution to provide QoS to time sensitive applications. TSN has emerged as a future of realtime communication. The main advantage of TSN is that it enables determinism by supporting time critical traffic while the best effort traffic is also present in the network. This paper explores two of the most popular and widespread traffic shaping mechanisms in TSN: Time Aware Shaper (TAS) and Credit Based Shaper (CBS). IEEE 802.1Qbv is used for delivering time assurance using TAS. CBS is a key traffic shaping algorithm to provide bandwidth assurance to the time critical and real time traffic, such as the audio traffic. This paper evaluates TAS and CBS using TSN enabled Network Interface Cards (NIC) with time synchronization, real time kernel and real traffic, which includes time sensitive traffic and elastic background traffic. © 2022 IEEE.