Conference Papers

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    Leveraging named data networking for industrial automation: Opportunities and challenges
    (Institute of Electrical and Electronics Engineers Inc., 2020) Nagaraj, A.H.; Tahiliani, M.P.; Tandur, D.; Satheesh, H.
    Information Centric Networking (ICN) has emerged as a promising solution to address the data dissemination and scalability concerns with the traditional TCP/IP Internet architecture. Named Data Networking (NDN) is a prominent ICN architecture that supports in-network caching, easy-to-deploy multicast communication and in-built security mechanisms, thus facilitating efficient, secure and timely delivery of content to the end users. These attributes make NDN a promising solution to meet the requirements of IoT applications. Consequently, NDN based IoT deployments for health care to smart home systems, smart buildings and smart cities are on the rise. Nonetheless, the feasibility of using NDN for building next generation Industrial Automation and Control Systems (IACS) has not been studied. Industrial automation requires an efficient and scalable networking infrastructure that facilitates data sharing to drive operational improvements and develop business intelligence. Ethernet based networking solutions are becoming increasingly popular in IACS to provide seamless integration of industrial networks with the Internet. In this paper, we explore the possibilities to leverage the benefits of NDN to provide an efficient, flexible and scalable networking solution for IACS. We study the impact of making this radical change to industrial networks, highlighting the opportunities and challenges for future research and development in this direction. © 2020 IEEE.
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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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    Group based Publisher-Subscriber Communication Primitives for ndnSIM
    (IEEE Computer Society, 2020) Ananthakrishnan, S.; Tahiliani, M.P.; Tandur, D.; Satheesh, H.
    Named Data Networking (NDN), an information centric network architecture, aims to provide an efficient and scalable alternative for content distribution. Modern Internet applications have more emphasis on data, and are less concerned about the location from where data is retrieved. NDN's communication primitives being strictly pull based help in bringing this focus shift from location of data to the data itself. A concern for NDN is to enable the support of other popular communication primitives, such as the Publisher-Subscriber (Pub-Sub) model, seamlessly. The Pub-Sub model is well suited for applications that require periodic retrieval of data or event triggered data, such as in Industrial Automation Control Systems (IACS). This paper presents the design and development of a model to support the group based Pub-Sub communication primitives in ndnSIM, a popular ns-3 based network simulator for NDN. The functionality of the proposed model is tested by developing an end-to-end simulation environment in ndnSIM that is representative of the popular use cases of Pub-Sub communication primitives. © 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.