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Decentralized Adaptive Latency-Aware Cloud-Edge-Dew Architecture for Unreliable Network

Published: 22 February 2019 Publication History

Abstract

Smart end-user devices are connected to the global ecosystem explosively and producing an enormous amount of network traffic at the backhaul. Moreover, Real-time applications such as remote surgery, self-driving cars, and other new technologies required high quality of user experience. To address the challenges Cloud Computing is extended to a new paradigm known as Dew Computing which brings cloud services and capabilities closer to end user devices based on proximity through a decentralized exchange of data and information. However, there is still a user requirement for Ultra-low latency and reliability so that, we introduced Cloud-Edge-Dew architecture to form adaptive local resource utilization and computational offloading during unreliable network to facilitate the collaboration between the various layer in the hierarchy. Moreover, smart end-user devices establish a peer communication or accessing the micro-services which are delivered from Dew Servers and Edge Server. As a result, our scheme provides a decentralize local computation which is more efficient in response time, availability and storage.

References

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Cited By

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  • (2023)Dew ComputingMachine Learning Algorithms Using Scikit and TensorFlow Environments10.4018/978-1-6684-8531-6.ch017(332-345)Online publication date: 18-Dec-2023
  • (2023)A Comprehensive Survey on Blockchain-Based Decentralized Storage NetworksIEEE Access10.1109/ACCESS.2023.324023711(10995-11015)Online publication date: 2023
  • (2021)Comprehensive Study of Moving from Grid and Cloud Computing Through Fog and Edge Computing towards Dew Computing2021 4th International Iraqi Conference on Engineering Technology and Their Applications (IICETA)10.1109/IICETA51758.2021.9717894(68-74)Online publication date: 21-Sep-2021
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    cover image ACM Other conferences
    ICMLC '19: Proceedings of the 2019 11th International Conference on Machine Learning and Computing
    February 2019
    563 pages
    ISBN:9781450366007
    DOI:10.1145/3318299
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 22 February 2019

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    Author Tags

    1. Cloud computing
    2. cloud-dew architecture
    3. computational offloading
    4. dew computing
    5. distributed computing
    6. edge computing

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    Cited By

    View all
    • (2023)Dew ComputingMachine Learning Algorithms Using Scikit and TensorFlow Environments10.4018/978-1-6684-8531-6.ch017(332-345)Online publication date: 18-Dec-2023
    • (2023)A Comprehensive Survey on Blockchain-Based Decentralized Storage NetworksIEEE Access10.1109/ACCESS.2023.324023711(10995-11015)Online publication date: 2023
    • (2021)Comprehensive Study of Moving from Grid and Cloud Computing Through Fog and Edge Computing towards Dew Computing2021 4th International Iraqi Conference on Engineering Technology and Their Applications (IICETA)10.1109/IICETA51758.2021.9717894(68-74)Online publication date: 21-Sep-2021
    • (2021)Software-Defined Dew, Roof, Fog and Cloud (SD-DRFC) Framework for IoT Ecosystem: The Journey, Novel Framework Architecture, Simulation, and Use CasesSN Computer Science10.1007/s42979-021-00521-y2:3Online publication date: 22-Mar-2021
    • (2020)Congestion‐aware adaptive decentralised computation offloading and caching for multi‐access edge computing networksIET Communications10.1049/iet-com.2020.063014:19(3410-3419)Online publication date: 29-Oct-2020
    • (2019)Resource-Aware Decentralized Adaptive Computational Offloading & Task-Caching for Multi-Access Edge ComputingProceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference10.1145/3341069.3341075(39-43)Online publication date: 22-Jun-2019

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