IDEAS home Printed from https://ideas.repec.org/a/aif/journl/v5y2021i3p137-147.html
   My bibliography  Save this article

Fog Computing Analysis Based on Internet of Thing: A Review

Author

Listed:
  • Hindreen Rashid Abdulqadir

    (Information Technology Department, Akre Technical College of Informatics, Duhok Polytechnic University, Duhok Kurdistan Region, Iraq.)

  • Nawzat Sadiq Ahmed

    (Information Technology Management Department, Technical College of Administration, Duhok Polytechnic University,Duhok, Kurdistan Region, Iraq.)

Abstract

Cloud machine architectures face many drawbacks due to the improved autonomous and distributed IoT configuration. The IoT is closer to the cloud infrastructure. The fog offers IoT data care and storage locally on IoT devices rather than in the cloud. The fog provides quicker responses and better performance in relation to the cloud. The best alternative for IoT to provide powerful and effective resources for many IoT customers may therefore be called Fog Computing. This paper aims at fog computing’s state-of-the-art and alignment with IoT in detailing the advantages and challenges of implementation. This study will concentrate also on the conception of cloud and fog technology and the application of the cloud and fog paradigm to improve modern IoT technologies. Finally, open issues and alternative research directions are discussed on fog estimation and IoT.

Suggested Citation

  • Hindreen Rashid Abdulqadir & Nawzat Sadiq Ahmed, 2021. "Fog Computing Analysis Based on Internet of Thing: A Review," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 137-147.
    • Handle: RePEc:aif:journl:v:5:y:2021:i:3:p:137-147
    as

    Download full text from publisher

    File URL: https://ijsab.com/wp-content/uploads/693.pdf
    Download Restriction: no
    File URL: https://ijsab.com/volume-5-issue-3/3711
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhwan Mohammed Khalid & Shavan Askar, 2021. "Resistant Blockchain Cryptography to Quantum Computing Attacks," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 116-125.
    2. Baydaa Hassan Husain & Shavan Askar, 2021. "Survey on Edge Computing Security," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 52-60.
    3. Kosrat Dlshad Ahmed & Subhi R. M. Zeebaree, 2021. "Resource Allocation in Fog Computing: A Review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 54-63.
    4. Chnar Mustafa Mohammed & Subhi R.M Zeebaree, 2021. "Sufficient Comparison Among Cloud Computing Services: IaaS, PaaS, and SaaS: A Review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 17-30.
    5. Zhwan M. Khalid & Subhi R.M Zeebaree, 2021. "Big Data Analysis for Data Visualization: A Review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 64-75.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shavan Askar & Glena Aziz Qadir & Tarik A. Rashid, 2021. "SDN Based 5G VANET: A Review," International Journal of Science and Business, IJSAB International, vol. 5(6), pages 131-147.
    2. Shavan Askar & Zhwan Mohammed Khalid & Tarik A. Rashid, 2021. "Blockchain For Securing IoT Devices: A Review," International Journal of Science and Business, IJSAB International, vol. 5(6), pages 209-224.
    3. Mohammed J. Sadeeq & Subhi R. M. Zeebaree, 2021. "Semantic Search Engine Optimisation (SSEO) for Dynamic Websites: A Review," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 148-158.
    4. Shavan Askar & Zhala Jameel Hamad & Shahab Wahhab Kareem, 2021. "Deep Learning and Fog Computing: A Review," International Journal of Science and Business, IJSAB International, vol. 5(6), pages 197-208.
    5. Shavan Askar & Kurdistan Ali & Tarik A. Rashid, 2021. "Fog Computing Based IoT System: A Review," International Journal of Science and Business, IJSAB International, vol. 5(6), pages 183-196.
    6. Shavan Askar & Faris Keti, 2021. "Performance Evaluation of Different SDN Controllers: A Review," International Journal of Science and Business, IJSAB International, vol. 5(6), pages 67-80.
    7. Shavan Askar & Kosrat Dlshad Ahmed & Shahab Wahhab Kareem, 2021. "Deep learning Utilization in SDN Networks: A Review," International Journal of Science and Business, IJSAB International, vol. 5(6), pages 174-182.
    8. Shavan Askar & Ibrahim Shamal Abdulkhaleq & Shahab Wahhab Kareem, 2021. "Blockchain systems: analysis, applications, & risks," International Journal of Science and Business, IJSAB International, vol. 5(6), pages 163-173.
    9. Shavan Askar & Chnar Mustaf Mohammed & Shahab Wahhab Kareem, 2021. "Deep Learning in IoT systems: A Review," International Journal of Science and Business, IJSAB International, vol. 5(6), pages 131-147.
    10. Shavan Askar & Baydaa Hassan Husain & Tarik A. Rashid, 2021. "SDN Based Fog Computing: A Review," International Journal of Science and Business, IJSAB International, vol. 5(6), pages 117-130.
    11. STOICA Eduard Alexandru & BOGOSLOV Ioana Andreea & GEORGESCU Mircea Radu, 2022. "Unexpected Digital Experiment: Cloud Computing As Solution For Entrepreneurship In A Post-Pandemic World?," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 74(2), pages 70-77, September.
    12. Wenyu Shi & Qiang Tang, 2023. "RETRACTED ARTICLE: Cost-optimized data placement strategy for social network with security awareness in edge-cloud computing environment," Journal of Combinatorial Optimization, Springer, vol. 45(1), pages 1-15, January.
    13. Maksymilian Mądziel & Tiziana Campisi, 2023. "Energy Consumption of Electric Vehicles: Analysis of Selected Parameters Based on Created Database," Energies, MDPI, vol. 16(3), pages 1-18, February.
    14. Rahul Basole & Elliot Bendoly & Aravind Chandrasekaran & Kevin Linderman, 2022. "Visualization in Operations Management Research," INFORMS Joural on Data Science, INFORMS, vol. 1(2), pages 172-187, October.
    15. Ibrahim Shamal Abdulkhaleq & Subhi R. M. Zeebaree, 2021. "State of Art for Distributed Databases: Faster Data Access, processing, Growth Facilitation and Improved Communications," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 126-136.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aif:journl:v:5:y:2021:i:3:p:137-147. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Farjana Rahman (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.