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Computing and storage models for edge computing

Simmhan, Y and Khochare, A and Ramachandra, SK (2020) Computing and storage models for edge computing. [Book Chapter]

Full text not available from this repository.
Official URL: https://doi.org/10.1049/PBPC033E_ch6


In this chapter, the author have examined the value proposition of such an approach, and the complementary benefits of edge, fog, and cloud resources. The author have explored different computing and storage models to support application composition and data storage on edge resources, alongside fog and cloud. There are also existing techniques and runtime strategies from cloud computing, Big Data platforms, distributed storage systems, and P2P systems that can be suitably extended and adapted to meet these unique needs. The author have offered two case studies of an edge-based video analytics platform for tracking, and an edge-centric storage system, which highlight these design elements. Lastly, the author have highlighted open problems in the context of computing and storage models for the edge.

Item Type: Book Chapter
Publication: Edge Computing
Publisher: Institution of Engineering and Technology
Additional Information: The copyright for this article belongs to Institution of Engineering and Technology.
Keywords: Application composition; Big data; Big Data platforms; Cloud computing; Cloud computing; Cloud resource; Computing model; Data analysis; Data handling techniques; Data storage; Distributed storage systems; Edge computing; Edge resource; Edge-based video analytics platform; Edge-centric storage system; File organisation; Fog resource; Internet software; P2P systems; Peer-to-peer computing; Storage management; Storage model; Video signal processing; Video signal processing
Department/Centre: Division of Interdisciplinary Sciences > Computational and Data Sciences
Date Deposited: 07 Feb 2023 04:14
Last Modified: 07 Feb 2023 04:14
URI: https://eprints.iisc.ac.in/id/eprint/79971

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