Conference Papers
Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506
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Item BCON: Back pressure based congestion avoidance model for Named Data Networks(Institute of Electrical and Electronics Engineers Inc., 2017) Agarwal, A.; Tahiliani, M.P.Queue management in Named Data Networks (NDN) has gained a lot of attention recently. Unlike the traditional IP architecture, the transport mechanism in NDN is intricate and comprises of in-network caching of data packets at routers. Hence, the most effective avoidance of congestion can occur at the routers itself. In this paper, we make two contributions: first, we propose a back pressure based congestion avoidance model for NDN which leverages the benefits of Active Queue Management (AQM) mechanisms. Using this model, we apply the existing AQM mechanisms like Random Early Detection (RED), Adaptive RED (ARED), Controlled Delay (CoDel) and Proportional Integral controller Enhanced (PIE) in NDN. Second, we study the effectiveness of our proposed model by performing simulations using ndnSIM. Our simulation results indicate that the proposed model successfully balances the tradeoff between link utilization and Data drop rate. © 2016 IEEE.Item 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.Item 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.