Mapping IoT applications on the edge to cloud continuum with a filter stream model

Shuangsheng Lou, Gagan Agrawal

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    In the context of developing streaming applications for IoT (or Edge Computing) environments, this paper presents a framework for automated deployment with an emphasis on optimizing latency in the presence of resource constraints. A dynamic programming based deployment algorithm is developed to make deployment decisions. With battery power being a key constraint, a major component of our work is a power model to help assess the power consumption of the edge devices at the runtime. Using three applications, we show the large reductions in both power consumption and response latency with our framework, as compared to a baseline involving cloud-only execution.

    Original languageEnglish (US)
    Title of host publicationProceedings - 5th IEEE International Conference on Fog and Edge Computing, ICFEC 2021
    EditorsYogesh Simmhan, Blesson Varghese, Lena Mashayekhy, Raj Buyya, Omer Rana
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages61-65
    Number of pages5
    ISBN (Electronic)9781665402910
    DOIs
    StatePublished - May 2021
    Event5th IEEE International Conference on Fog and Edge Computing, ICFEC 2021 - Virtual, Online
    Duration: May 10 2021 → …

    Publication series

    NameProceedings - 5th IEEE International Conference on Fog and Edge Computing, ICFEC 2021

    Conference

    Conference5th IEEE International Conference on Fog and Edge Computing, ICFEC 2021
    CityVirtual, Online
    Period5/10/21 → …

    Keywords

    • Internet of Things
    • Latency
    • Resource constraints
    • Service Deployment
    • Streaming Applications

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Hardware and Architecture
    • Information Systems and Management
    • Safety, Risk, Reliability and Quality

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