Faculty Publications

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    Implementation and performance comparison of queuing disciplines for Best-Effort and Time-Sensitive Network
    (Institute of Electrical and Electronics Engineers Inc., 2024) Hagargund, A.G.; Shet, N.S.V.; Kulkarni, M.
    Real-time applications like industrial automation, autonomous vehicles and critical infrastructure systems require deterministic networking strategies to provide efficient data delivery. The networking protocols play an important role in such applications where data transmission of devices is done using TCP/IP based networks. In this study we concentrate on Layer 2 standards of TCP/IP stack to test and validate the scheduling strategies. We examine and compare the performance of legacy scheduling strategies like Round Robin, First In First Out, Token Bucket with Time-sensitive networking standard like IEEE 802.1Qbv. We present the result of all the scheduling strategies and discuss the suitability of these standards for real time and time critical applications. We use Mininet emulator and Linux queuing disciples to validate the standards. The results for delay is discussed for each case. © 2024 IEEE.
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    DTPF Algorithm Based Open-Source Time-Sensitive Network Leveraging SDN Architecture
    (Institute of Electrical and Electronics Engineers Inc., 2023) Hagargund, A.G.; Shet, N.S.V.; Kulkarni, M.
    Time-Sensitive Networking (TSN) has enabled a lot of advancements in industrial automation, aviation, tactile networking, and other ad-hoc networking applications. The bounded latency, reliability, and self-recovering mechanisms for a network are some of the core attributes of the TSN architecture. The reliability of bench-marking of a given TSN architecture, when done with simulators, will not match with that of hardware systems. But the TSN hardware needs more capital investment along with more development time as it involves understanding the hardware-specific parameters. The research in this paper has solved this shortcoming by implementing an open-source and secured SDN(Software Defined Networking)-based TSN framework integrating IEEE's 802.1 Qbv and 802.1Qcc standards. The novelty of implementation involves i) Realization of Centralized User Configuration (CUC), Centralized Network Configuration (CNC) with open source tools. ii) An algorithm called Dynamic TSN Path Finder (DTPF) is implemented for automatically identifying TSN edges participating in TSN flow. iii) Emulation of hardware environment leveraging Linux-based queuing disciplines and traffic shapers. This unique open source-based TSN architecture is then tested with both TSN and Non-TSN traffic, to demonstrate the gating logic and the delay characteristics based on queuing discipline when applied to virtual queues. © 2013 IEEE.