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Edge Computing in Healthcare Systems

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Deep Learning and Edge Computing Solutions for High Performance Computing

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

Abstract

Proliferation of social networking sites, IoT, and a huge number of electronic transactions have given rise to a data deluge. This huge amount of data combined with cloud storage and proliferation of graphics processing units (GPUs) have ushered in a new era of machine learning (ML) and deep learning (DL). These techniques have been very useful in analyzing the data quickly in a wide range of applications such as self-driving cars, virtual reality, robotics, healthcare, and so on. However, resource-constrained end devices may not be suitable for computationally intensive operations that deep learning demands. Processing and analysis of the data can be done on the cloud but will involve high bandwidth usage, latency in obtaining the results, and also privacy concerns that are not acceptable for these applications. One alternative is to use edge computing that keeps the data in situ and brings the applications in close proximity to the data (i.e., at the network edge) so as to reduce the communication cost, lower the bandwidth and latency, and also, adds a layer of security to the data. A paradigm that complements cloud computing and benefits each other is Edge Computing.

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Authors and Affiliations

  1. Visvesvaraya Technological University, Belagavi, Karnataka, India

    Madhura S. Mulimani & Rashmi R. Rachh

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  1. Madhura S. Mulimani
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  2. Rashmi R. Rachh
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Editors and Affiliations

  1. Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu, India

    A. Suresh

  2. Polytechnic Institute of Viana do Castel, Viana do Castelo, Portugal

    Sara Paiva

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Mulimani, M.S., Rachh, R.R. (2021). Edge Computing in Healthcare Systems. In: Suresh, A., Paiva, S. (eds) Deep Learning and Edge Computing Solutions for High Performance Computing. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-60265-9_5

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  • DOI: https://doi.org/10.1007/978-3-030-60265-9_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60264-2

  • Online ISBN: 978-3-030-60265-9

  • eBook Packages: EngineeringEngineering (R0)

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