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Distributed Video Analytics Across Edge and Cloud Using ECHO

Khochare, A and Ravindra, P and Reddy, SP and Simmhan, Y (2018) Distributed Video Analytics Across Edge and Cloud Using ECHO. In: 15th International Conference on Service-Oriented Computing, ICSOC 2017,, 13 - 16 November 2017, Malaga, pp. 402-407.

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Official URL: https://doi.org/10.1007/978-3-319-91764-1_39


Analytics over urban video streams is well suited for distributed computing across Edge, Fog and Cloud. Such streams are network intensive, making it is prohibitive to fully transfer them to the Cloud. Deep Neural Networks have achieved remarkable accuracy in image classification, but are computationally costly on just Edge devices. We propose ECHO as a big data platform to compose IoT dataflows and seamlessly distribute them across Edge and Cloud resources. In this demonstration, we illustrate the capabilities of ECHO for deploying several video analytics applications to support smart city use-cases.

Item Type: Conference Paper
Publication: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher: Springer Verlag
Additional Information: The copyright for this article belongs to the Springer International Publishing AG, part of Springer Nature.
Keywords: Big data; Deep neural networks; Internet of things; Quality of service, Big data platforms; Data flow; Video analytics, Distributed computer systems
Department/Centre: Division of Interdisciplinary Sciences > Computational and Data Sciences
Date Deposited: 27 Aug 2022 05:46
Last Modified: 27 Aug 2022 05:46
URI: https://eprints.iisc.ac.in/id/eprint/76051

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