Showing 41 - 60 results of 75 for search 'distributed cloud computing', query time: 0.07s Refine Results
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    FoGMatch by Arisdakessian, Sarhad

    Published 2019
    “…Cloud computing has long been the main backbone that IoT devices rely on to accommodate their storage and analytical needs. …”
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    masterThesis
  5. 45

    A novel mobile and vehicular Ad Hoc cloud framework for intursion detection. (c2017) by Dbouk, Toufic H

    Published 2017
    “…Based on our IOD module, our approach is capable of significantly reducing energy consumption, execution time, and number of selected computational nodes.…”
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    masterThesis
  6. 46

    A mathematical model to analyze the utilization of a cloud datacenter middleware by Mershad, Khaleel

    Published 2015
    “…Cloud computing is the future paradigm that will dominate the visualization and processing of web data. …”
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    article
  7. 47

    Machine Learning Models for Scheduling On-Demand Fog Placement and Optimizing Container Deployment by Farhat, Peter

    Published 2020
    “…Fog computing is an extended cloud computing technology allowing services embedded into virtual machines or containers to be placed at the edge with closer proximity to the end devices. …”
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    masterThesis
  8. 48

    RL-PDNN: Reinforcement Learning for Privacy-Aware Distributed Neural Networks in IoT Systems by Emna Baccour (16896366)

    Published 2021
    “…<p>Due to their high computational and memory demand, deep learning applications are mainly restricted to high-performance units, e.g., cloud and edge servers. …”
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    Editorial on the Special Section on Algorithms, Circuits, and Systems for Signal Processing at the Edge by Leonel Sousa (19645372)

    Published 2021
    “…These computations typically require signal processing algorithms running on resource-constrained mobile devices, while to provide the core services and the required computational power, cloud servers are applied. …”
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    Smart mobile computation offloading by Tout, Hanine

    Published 2017
    “…With the ability to release and augment the limited resources of mobile devices, mobile cloud computing has drawn significant research attention allowing computations to be offloaded and executed on remote resourceful infrastructure. …”
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    article
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    Fog Computing Approach for Shared Mobility in Smart Cities by Aburukba, Raafat

    Published 2021
    “…Furthermore, given the requirement for real-time decisions with low latency for critical requests, the paper deploys the proposed framework within the 3-tier computing model, namely edge, fog, and cloud tiers. …”
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    article
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    A Novel Ad-Hoc Mobile Edge Cloud Offering Security Services Through Intelligent Resource-Aware Offloading by Dbouk, Toufic

    Published 2019
    “…Moreover, the results provide optimal offloading decision and distribution of security services while significantly reducing energy consumption, execution time, and number of selected computational nodes without sacrificing security.…”
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    article
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    Edge intelligence for network intrusion prevention in IoT ecosystem by Mansura Habiba (17808302)

    Published 2023
    “…A system architecture is designed for a cloud-based IoT framework to implement the proposed algorithm efficiently. …”
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    A Comparative Analysis on Blockchain versus Centralized Authentication Architectures for IoT-Enabled Smart Devices in Smart Cities: A Comprehensive Review, Recent Advances, and Fut... by Usman Khalil (7820876)

    Published 2022
    “…From an integration perspective, cloud computing has provided strong support. In contrast, decentralized ledger technology, i.e., blockchain, light-weight cryptosystems, and Artificial Intelligence (AI)-based solutions, are the areas with much more to explore. …”
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    A Blockchain Footprint for Authentication of IoT-Enabled Smart Devices in Smart Cities: State-of-the-Art Advancements, Challenges and Future Research Directions by Usman Khalil (7820876)

    Published 2022
    “…From an integration perspective, cloud computing has provided strong support. In contrast, decentralized ledger technology, i.e., Blockchain, and lightweight cryptosystems are the areas for much more to explore. …”
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