Conference Papers

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    Distributed Adaptive Video Streaming using Inter-Server Data Distribution and Agent-based Adaptive Load Balancing
    (Institute of Electrical and Electronics Engineers Inc., 2020) Bhowmik, M.; Raghunandan, A.; Rudra, B.
    As the number and hours of videos available within an organisation increases, as well as it's demand, the need for fast video streaming applications arises. Cloud based services are not cost effective and are not an ideal choice for storing the ever-increasing video data that is usually stored and used only within a particular organisation, like a University. Hence, this paper proposes a web based system design to store and stream videos at a small-scale within an organisation. To improve the video viewing experience for the user, the system is flexible to handle sudden changes, like increase in number of requests. The system requires the use of a cluster of servers to deliver the content as a single server cannot handle the load as number of requests increases. This requires effective load distribution among the servers. This paper proposes a way to design this system for adaptive video streaming. This system is highly scalable and can handle high loads, i.e. a higher number of users connecting to the application simultaneously. This paper proposes an algorithm called inter-server load balancing algorithm with Adaptive Agent-based load balancing to solve this problem. The algorithms also incorporates dynamic video resolution delivery techniques to ensure smooth viewing experience in the whole user experience irrespective of the network speed and bandwidth. © 2020 IEEE.
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    Scalable blockchain solution for targeted public distribution system (TPDS) in India
    (Institute of Electrical and Electronics Engineers Inc., 2021) Raghunandan, A.; Priyadarsini, A.; Vaibhav, G.; Manjappa, M.
    The Targeted Public Distribution System (TPDS) in India is essential to supply food grains produced by farmers to the beneficiaries. It provides affordable food grains to the deprived families of India. However, the current TPDS system is plagued by various issues, leakage being the primary one. This work aims to use blockchain technology, one of the cutting edge technologies, to overcome the issue of leakage and make the TPDS a digital, secure, transparent and scalable system. Blockchain provides transparency such that any user can access the system to get an understanding of the quantity of food grains being processed at each stage of the TPDS workflow. The system requires minimal human intervention and would be deployed across all states. This ensures a unified workflow for TPDS across all states and gives a more holistic understanding of how TPDS benefits the deprived families in India. To make the blockchain system scalable, the blockchain network is divided into 'shards', which are independent chains containing their own data separate from others. The proposed TPDS blockchain system was implemented in Hyperledger Fabric and was tested for different use cases. The authors found that the proposed blockchain architecture is responding well to all the use cases considered. © 2021 IEEE.
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    Comparative Performance Evaluation of Web-Based Book Recommender Systems
    (Institute of Electrical and Electronics Engineers Inc., 2022) Bhat, S.S.; Pranav, P.; Shashank, K.V.; Raghunandan, A.; Mohan, B.R.
    In today's world, recommendation algorithms are popularly utilised for personalization. To improve their business, e-commerce behemoths rely heavily on their recommendation algorithms. As a result, the quality of suggestions can have a big impact on how much money they make. As a result, effective evaluation of recommender systems is critical. Traditional evaluation measures are limited to error-based and accuracy-based metrics, and do not account for characteristics such as novelty, informedness, markedness, and so on. This research study aims to compare the effectiveness of two web-based book recommendation systems by using the measures like diversity, informedness, and markedness, which are less well-known but equally essential. © 2022 IEEE.