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Fog computing and its role in the internet of things

Published: 17 August 2012 Publication History
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  • Abstract

    Fog Computing extends the Cloud Computing paradigm to the edge of the network, thus enabling a new breed of applications and services. Defining characteristics of the Fog are: a) Low latency and location awareness; b) Wide-spread geographical distribution; c) Mobility; d) Very large number of nodes, e) Predominant role of wireless access, f) Strong presence of streaming and real time applications, g) Heterogeneity. In this paper we argue that the above characteristics make the Fog the appropriate platform for a number of critical Internet of Things (IoT) services and applications, namely, Connected Vehicle, Smart Grid, Smart Cities, and, in general, Wireless Sensors and Actuators Networks (WSANs).

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    Cited By

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    • (2024)Optimal method to monitor network for IoT devices based on anomaly detectionComputers and Informatics10.62189/ci.1260288(41-50)Online publication date: 8-Feb-2024
    • (2024)Unlocking the Potential of 5G: Innovations and Challenges in Next-Generation Telecommunication Networks in NigeriaJournal of Media,Culture and Communication10.55529/jmcc.44.1.13(1-13)Online publication date: 19-Jun-2024
    • (2024)A Survey on Data Security and Privacy for Fog-Based Smart Grid ApplicationsDriving Transformative Technology Trends With Cloud Computing10.4018/979-8-3693-2869-9.ch010(179-207)Online publication date: 21-Jun-2024
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    cover image ACM Conferences
    MCC '12: Proceedings of the first edition of the MCC workshop on Mobile cloud computing
    August 2012
    72 pages
    ISBN:9781450315197
    DOI:10.1145/2342509
    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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    New York, NY, United States

    Publication History

    Published: 17 August 2012

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    Author Tags

    1. analytics
    2. cloud computing
    3. fog computing
    4. iot
    5. real time systems
    6. software defined networks
    7. wsan

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    SIGCOMM '12
    Sponsor:
    SIGCOMM '12: ACM SIGCOMM 2012 Conference
    August 17, 2012
    Helsinki, Finland

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    Overall Acceptance Rate 10 of 24 submissions, 42%

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    Cited By

    View all
    • (2024)Optimal method to monitor network for IoT devices based on anomaly detectionComputers and Informatics10.62189/ci.1260288(41-50)Online publication date: 8-Feb-2024
    • (2024)Unlocking the Potential of 5G: Innovations and Challenges in Next-Generation Telecommunication Networks in NigeriaJournal of Media,Culture and Communication10.55529/jmcc.44.1.13(1-13)Online publication date: 19-Jun-2024
    • (2024)A Survey on Data Security and Privacy for Fog-Based Smart Grid ApplicationsDriving Transformative Technology Trends With Cloud Computing10.4018/979-8-3693-2869-9.ch010(179-207)Online publication date: 21-Jun-2024
    • (2024)Internet of Things-Based Service-Oriented Architecture for Industrial ApplicationsEmerging Engineering Technologies and Industrial Applications10.4018/979-8-3693-1335-0.ch013(269-294)Online publication date: 6-May-2024
    • (2024)A Survey of Machine Learning in Edge Computing: Techniques, Frameworks, Applications, Issues, and Research DirectionsTechnologies10.3390/technologies1206008112:6(81)Online publication date: 3-Jun-2024
    • (2024)A Novel Cloud-Based IoT Framework for Secure Health MonitoringSustainability10.3390/su1603134916:3(1349)Online publication date: 5-Feb-2024
    • (2024)Presenting the COGNIFOG Framework: Architecture, Building Blocks and Road toward Cognitive ConnectivitySensors10.3390/s2416528324:16(5283)Online publication date: 15-Aug-2024
    • (2024)Optimizing Internet of Things Fog Computing: Through Lyapunov-Based Long Short-Term Memory Particle Swarm Optimization Algorithm for Energy Consumption OptimizationSensors10.3390/s2404116524:4(1165)Online publication date: 10-Feb-2024
    • (2024)Authentication and Key Agreement Protocol in Hybrid Edge–Fog–Cloud Computing Enhanced by 5G NetworksFuture Internet10.3390/fi1606020916:6(209)Online publication date: 14-Jun-2024
    • (2024)An Effective Mechanism for FOG Computing Assisted Function Based on Trustworthy Forwarding Scheme (IOT)Electronics10.3390/electronics1314271513:14(2715)Online publication date: 11-Jul-2024
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