Abstract
In recent times, cloud computing has become the widely accepted technology for moving the database over the cloud, which has brought revolution in the IT industry, this term is recently coined as Database as a Service (DBaaS). Mostly cloud databases are used for data intensive applications such as data warehousing, data mining and monitoring purpose. On the advent of smart cities concept, massively scalable video surveillance has become the necessity in public area. In this paper, we proposed a database as a service to support video surveillance system on the cloud environment with real time video analytics. In this regard, we have explored Trove (Open stack cloud DBaaS component) to facilitate scalability and availability for the video surveillance system furthermore we have also proposed data processing architecture based on open CV, Apache Kafka and Apache spark.
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Kumar, S., Prasadula, V.R., Murugesh, S. (2020). Database as a Service for Cloud Based Video Surveillance System. In: Smys, S., Bestak, R., Rocha, Á. (eds) Inventive Computation Technologies. ICICIT 2019. Lecture Notes in Networks and Systems, vol 98. Springer, Cham. https://doi.org/10.1007/978-3-030-33846-6_25
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DOI: https://doi.org/10.1007/978-3-030-33846-6_25
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