IDEAS home Printed from https://ideas.repec.org/a/aif/journl/v5y2021i6p183-196.html
   My bibliography  Save this article

Fog Computing Based IoT System: A Review

Author

Listed:
  • Shavan Askar

    (Assistant Professor, CEO of Arcella Telecom, College of Engineering, Erbil Polytechnic University, Erbil, Iraq.)

  • Kurdistan Ali

    (Information System Engineering, Erbil Polytechnic University, Erbil, Iraq)

  • Tarik A. Rashid

    (Professor, Computer Science and Engineering, University of Kurdistan Hawler, Erbil, Iraq.)

Abstract

Due to the rapid accelerated development of IoT technologies, the traditional generation cloud computing model is faced with a range of problems, including high latency, low bandwidth, and network problems. Fog computing is a new promising feature that enables legitimate cloud application services will be provided close to something like the physical IoT device at the edge devices rather than in the cloud. It's a layer that lies between the cloud and the Iot. computers that enables unified internet-based computing. How about sending IoT information to the cloud, the fog processes and stores it remotely at IoT computers. The fog in comparison to the cloud, offers resources that are more sensitive and of higher quality. As a result, fog computing could be the best option for enabling the IoT to deliver effective and reliable services to a huge number of IoT clients. After that, we'll go over some of the literature and outline the findings.

Suggested Citation

  • 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.
    • Handle: RePEc:aif:journl:v:5:y:2021:i:6:p:183-196
    as

    Download full text from publisher

    File URL: https://ijsab.com/wp-content/uploads/755.pdf
    Download Restriction: no
    File URL: https://ijsab.com/volume-5-issue-6/4235
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chnar Mustaf Mohammed & Shavan Askar, 2021. "Machine Learning for IoT HealthCare Applications: A Review," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 42-51.
    2. 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.
    3. 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.
    4. Kosrat Dlshad Ahmed & Shavan Askar, 2021. "Deep Learning Models for Cyber Security in IoT Networks: A Review," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 61-70.
    5. Zhala Jameel Hamad & Shavan Askar, 2021. "Machine Learning Powered IoT for Smart Applications," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 92-100.
    6. Kurdistan Ali & Shavan Askar, 2021. "Security Issues and Vulnerability of IoT Devices," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 101-115.
    7. Glena Aziz Qadir & Shavan Askar, 2021. "Software Defined Network Based VANET," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 83-91.
    8. Cheng Wang & Haiyang Huang & Jianwei Chen & Wei Wei & Tian Wang, 2020. "An online and real-time adaptive operational modal parameter identification method based on fog computing in Internet of Things," International Journal of Distributed Sensor Networks, , vol. 16(2), pages 15501477209, February.
    9. Ibrahim Shamal Abdulkhaleq & Shavan Askar, 2021. "Evaluating the Impact of Network Latency on the Safety of Blockchain Transactions," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 71-82.
    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 & 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Chnar Mustaf Mohammed & Shavan Askar, 2021. "Machine Learning for IoT HealthCare Applications: A Review," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 42-51.
    11. 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.
    12. Ibrahim Shamal Abdulkhaleq & Shavan Askar, 2021. "Evaluating the Impact of Network Latency on the Safety of Blockchain Transactions," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 71-82.
    13. 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.
    14. Xue Han & Pratibha Rani, 2022. "RETRACTED ARTICLE: Evaluate the barriers of blockchain technology adoption in sustainable supply chain management in the manufacturing sector using a novel Pythagorean fuzzy-CRITIC-CoCoSo approach," Operations Management Research, Springer, vol. 15(3), pages 725-742, December.
    15. Zhala Jameel Hamad & Shavan Askar, 2021. "Machine Learning Powered IoT for Smart Applications," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 92-100.
    16. Lulu Xin & Shuai Lang & Arunodaya Raj Mishra, 2022. "RETRACTED ARTICLE: Evaluate the challenges of sustainable supply chain 4.0 implementation under the circular economy concept using new decision making approach," Operations Management Research, Springer, vol. 15(3), pages 773-792, December.

    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:6:p:183-196. 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.