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A scalable and composable analytics platform for distributed wide-area tracking

Khochare, A and Simmhan, Y (2019) A scalable and composable analytics platform for distributed wide-area tracking. In: 20th International Conference on Distributed Computing and Networking, ICDCN 2019, 4 - 7 January 2019, Bangalore, p. 506.

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Official URL: https://doi.org/10.1145/3288599.3299753


Smart cities are a manifestation of the Internet of Things (IoT). The push for smart cities has led to the proliferation of video cameras in public spaces 1. London is expected to deploy 642,000 cameras by 2020. These cameras will be used primarily for surveillance of the city for urban safety. At the same time, such smart city deployments have also seen edge and fog computing paradigms gain preference over the cloud-only computing model 2. This is due to the network proximity of the edge and fog devices to the data sources, offering lower latency access to data and lower bandwidth requirements to push high volume data, such as video streams, to the cloud.

Item Type: Conference Paper
Publication: ACM International Conference Proceeding Series
Publisher: Association for Computing Machinery
Additional Information: The copyright for this article belongs to Association for Computing Machinery.
Keywords: Data streams; Internet of things; Network security; Security systems; Smart city; Video cameras, Bandwidth requirement; Computing model; Computing paradigm; Data-sources; High volumes; Internet of thing (IOT); Public space; Urban safety, Fog computing
Department/Centre: Division of Interdisciplinary Sciences > Computational and Data Sciences
Date Deposited: 28 Nov 2022 09:53
Last Modified: 28 Nov 2022 09:53
URI: https://eprints.iisc.ac.in/id/eprint/78096

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