Nothing Special   »   [go: up one dir, main page]
Scribd Logo
Upload

Welcome to Scribd!

  • 844 views

    Fog Computing: Presented by

    Uploaded by

    Pooja P
    Fog computing is a model that extends cloud computing and services to the edge of the network by providing data, compute, storage, and application services closer to end-users. It addresses limitations of cloud computing like latency and security issues by keeping data processing localized. Fog computing utilizes local computing resources at the network edge instead of cloud resources to process IoT data and support real-time applications. Its key components include IoT services, an orchestration layer, and an abstraction layer to manage resources heterogeneously.

    Copyright:

    © All Rights Reserved
    Download as PPTX, PDF, TXT or read online from Scribd

    Fog Computing: Presented by

    Uploaded by

    Pooja P
    844 views16 pages
    Fog computing is a model that extends cloud computing and services to the edge of the network by providing data, compute, storage, and application services closer to end-users. It addresses limitations of cloud computing like latency and security issues by keeping data processing localized. Fog computing utilizes local computing resources at the network edge instead of cloud resources to process IoT data and support real-time applications. Its key components include IoT services, an orchestration layer, and an abstraction layer to manage resources heterogeneously.

    Original Description:

    Original Title

    frog

    Copyright

    © © All Rights Reserved

    Available Formats

    PPTX, PDF, TXT or read online from Scribd

    Did you find this document useful?

    Is this content inappropriate?

    Fog computing is a model that extends cloud computing and services to the edge of the network by providing data, compute, storage, and application services closer to end-users. It addresses limitations of cloud computing like latency and security issues by keeping data processing localized. Fog computing utilizes local computing resources at the network edge instead of cloud resources to process IoT data and support real-time applications. Its key components include IoT services, an orchestration layer, and an abstraction layer to manage resources heterogeneously.

    Copyright:

    © All Rights Reserved
    Download as PPTX, PDF, TXT or read online from Scribd
    Download as pptx, pdf, or txt
    844 views16 pages

    Fog Computing: Presented by

    Uploaded by

    Pooja P
    Fog computing is a model that extends cloud computing and services to the edge of the network by providing data, compute, storage, and application services closer to end-users. It addresses limitations of cloud computing like latency and security issues by keeping data processing localized. Fog computing utilizes local computing resources at the network edge instead of cloud resources to process IoT data and support real-time applications. Its key components include IoT services, an orchestration layer, and an abstraction layer to manage resources heterogeneously.

    Copyright:

    © All Rights Reserved
    Download as PPTX, PDF, TXT or read online from Scribd
    Download as pptx, pdf, or txt
    of 16
    At a glance
    Powered by AI
    The key takeaways are that fog computing extends cloud computing to the edge of the network by providing data, compute and application services closer to end users. It was developed to address limitations of cloud computing like high latency for real-time applications.

    The main characteristics of fog computing are proximity to end-users, geographical distribution, support for mobility, edge location, real-time interactions and interoperability.

    Some of the advantages of fog computing over cloud computing are more security since data stays closer to users, low latency, support for real-time applications, less bandwidth consumption and improved efficiency.

    FOG COMPUTING

    PRESENTED BY:
    P.HEMA LATHA
    16691A5D0
    CSE-C
    CONTENTS
    • Introduction
    • Need for Fog Computing
    • Fog solution to cloud limitations
    • Characteristics
    • Advantages
    • Components of Fog Architecture
    • Application of Fog
    • Conclusion
    • References
    INTRODUCTI
    ON

    • Fog Computing is a model that extends Cloud computing and services to


    the edge of the network.
    • Fog provides data, compute, storage, and application services to end-users.
    • Fog screen is an exciting new projection technology that allows to
    project images and video onto a screen of “dry ” fog. Creating
    the illusion that the images are floating in mid-air.
    NEED FOR FOG COMPUTING

    • Fog Computing keeps data right where the Internet of Things needs it.
    • Fog computing was developed to address applications and services that do
    not fit the paradigm of the cloud.
    • Overcome Limitations of cloud
    FOG SOLUTION TO CLOUD LIMITATIONS

    • Improved security of encrypted data as it stays closer to the end user


    • Improves efficiency.
    • Improves Latency.
    • It does not verify whether the user was authorized or not.
    • Cloud computing security does not focus on ways of secure
    the data from unauthorized access.
    CHARACTERISTICS

    • Proximity to end-users
    • Geographical distribution
    • Support for mobility
    • Edge location
    • Real time interactions
    • Interoperability
    • Heterogeneity
    ADVANTAGES

    • More Security provided.


    • Low latency
    • Real time applications.
    • Fog can be distinguished from Cloud by its proximity to end-users.
    • Consumes less amount of band width
    COMPONENTS OF FOG ARCHITECTURE
    •IoT Services:
    Fog Computing paradigm utilizes local computing resources locating
    at the network edge instead of those residing at the cloud for processing
    data collected from sensors linked to physical devices in an IoT platform.

    •Orchestration Layer Includes:


    • Software Agent : capable of bearing orchestration functionality and performance
    requirements that could be embedded in various edge devices.
    • Distributed Storage : store meta-data.
    • Messaging bus : carry control messages for resource management.
    • Distributed policy engine
    • Abstraction Layer:
    fog abstraction layer provides a generic application
    programming interface (API) for monitoring resources such as
    CPU, memory and network by hiding the platforms'
    heterogeneity and unveiling the uniform and programmable
    interface for seamless resource management and control
    APPLICATIONS OF FOG

    • Smart grids
    • Vehicle Networks
    • Smart Home
    • Health Data Management
    • Smart City
    • Augmented reality, cognitive systems, and gaming
    • Mobile Big Data Analytics
    VEHICLE NETWORKS
    CONCLUSION

    • We have analyzed fog computing and its real time applications.


    • Fog computing performs better than cloud computing.
    • Fog computing will grow in helping the network paradigms that require
    faster processing.
    REFERENCES

    • F. Bonomi, “Connected vehicles, the internet of things, and fog com-


    puting,” in The Eighth ACM International Workshop on Vehicular Inter-
    Networking (VANET), Las Vegas, USA, 2011.
    • https://saisharansai/fog-computing-46604121?from_action=s
    ave
    • https://www.engpaper.com/fog-computing-2018.htm

    You might also like