International Journal of Satellite Remote Sensing Review Article

Implementing and Analyzing Network Commands in Cloud and Edge Computing Environments with Cisco Simulators

  1. Bhoomi Nelwade Department of Electrical Engineering, Shri Vile Parle Kelavani Mandal's Narsee Monjee Institute of Management Studies, Kharghar, Navi Mumbai
  2. Jahnvi Yadwad Department of Electrical Engineering, Shri Vile Parle Kelavani Mandal's Narsee Monjee Institute of Management Studies, Kharghar, Navi Mumbai
  3. Adeeb Khazi Department of Electrical Engineering, Shri Vile Parle Kelavani Mandal's Narsee Monjee Institute of Management Studies, Kharghar, Navi Mumbai
  4. Sairaj Patil Department of Electrical Engineering, Shri Vile Parle Kelavani Mandal's Narsee Monjee Institute of Management Studies, Kharghar, Navi Mumbai
  5. Aditya Suresh Kasar Department of Electrical Engineering, Shri Vile Parle Kelavani Mandal's Narsee Monjee Institute of Management Studies, Kharghar, Navi Mumbai

Abstract

The present review examines edge and cloud topologies and compares them according to latency. Instead of using distant data centers like cloud computing platforms, edge computing designs process data physically close to the source. Increased demand for Internet of Things (IoT) devices, which are growing more concerned with real-time data processing and analysis, has fueled the expansion of edge computing and cloud computing. In essence, each of these designs offers distinct approaches to data management and job processing, each with its own set of benefits and drawbacks. It has been observed that, in contrast to cloud computing architectures, which provide scalability over the long term, edge computing systems gradually reduce latency. Empirical research and a review of the literature showed that while Edge may be excellent at reducing latency, it has problems with long-term scalability. Cloud computing, on the other hand, is excellent at scaling and cutting costs, but it has issues with latency. In order to build effective systems that will satisfy all of the applications' significant requirements, it is advised to have a thorough understanding of these structural variations.

Keywords

References (22)

  1. Chang, A. Hari, S. Mukherjee, and T. V. Lakshman, "Bringing the cloud to the edge." In: Proceedings of the IEEE INFOCOM Workshops 2014, Toronto, ON, Canada, April 27 - May 2, 2014, pp. 346–351. doi:10.1109/INFCOMW.2014.6849171.
  2. El-Sayed H, Sankar S, Prasad M, Puthal D, Gupta A, Mohanty M, et al. Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environment. IEEE Access. 2018;6:1706-1717. doi:10.1109/access.2017.2780087
  3. Ren J, Yu G, He Y, Li GY. Collaborative Cloud and Edge Computing for Latency Minimization. IEEE Transactions on Vehicular Technology. 2019;68(5):5031-5044. doi:10.1109/tvt.2019.2904244
  4. Tao Y, Xu P, Jin H. Secure Data Sharing and Search for Cloud-Edge-Collaborative Storage. IEEE Access. 2020;8:15963-15972. doi:10.1109/access.2019.2962600
  5. Cao K, Liu Y, Meng G, Sun Q. An Overview on Edge Computing Research. IEEE Access. 2020;8:85714-85728. doi:10.1109/access.2020.2991734
  6. Shi W, Cao J, Zhang Q, Li Y, Xu L. Edge Computing: Vision and Challenges. IEEE Internet of Things Journal. 2016;3(5):637-646. doi:10.1109/jiot.2016.2579198
  7. Putrada AG, Abdurohman M, Perdana D, Nuha HH. EdgeSL: Edge-Computing Architecture on Smart Lighting Control With Distilled KNN for Optimum Processing Time. IEEE Access. 2023;11:64697-64712. doi:10.1109/access.2023.3288425
  8. Gopala and K. Sriram, "edge computing vs. Cloud computing: an overview of big data challenges and opportunities for large enterprises," [Online].
  9. Simion, Y. Wang, H. Tai, U. Odyurt, and Z. Zhao, "Towards Seamless Serverless Computing Across an Edge-Cloud Continuum," Jan. 2024, [Online]. Available: http://arxiv.org/abs/2401.02271.
  10. Singh S. Optimize cloud computations using edge computing. In2017 International Conference on Big Data, IoT and Data Science (BID) 2017 Dec 20 (pp. 49-53). IEEE.
  11. Mittal S, Negi N, Chauhan R. Integration of edge computing with cloud computing. In2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT) 2017 Nov 17 (pp. 1-6). IEEE.
  12. Li J, Gu C, Xiang Y, Li F. Edge-cloud Computing Systems for Smart Grid: State-of-the-art, Architecture, and Applications. Journal of Modern Power Systems and Clean Energy. 2022;10(4):805-817. doi:10.35833/mpce.2021.000161
  13. Ghosh A, Grolinger K. Edge-Cloud Computing for IoT Data Analytics: Embedding Intelligence in the Edge with Deep Learning. IEEE Transactions on Industrial Informatics. 2020:1-1. doi:10.1109/tii.2020.3008711
  14. D’Agostino D, Morganti L, Corni E, Cesini D, Merelli I. Combining Edge and Cloud computing for low-power, cost-effective metagenomics analysis. Future Generation Computer Systems. 2019;90:79-85. doi:10.1016/j.future.2018.07.036
  15. Pan J, McElhannon J. Future Edge Cloud and Edge Computing for Internet of Things Applications. IEEE Internet of Things Journal. 2018;5(1):439-449. doi:10.1109/jiot.2017.2767608
  16. Satyanarayana, "The Emergence of Edge Computing."
  17. Ali M, Karimipour H, Tariq M. Integration of blockchain and federated learning for Internet of Things: Recent advances and future challenges. Computers & Security. 2021 Sep 1;108:102355.
  18. Mell PM, Grance T. The NIST definition of cloud computing. 2011. doi:10.6028/nist.sp.800-145
  19. Linthicum DS. Connecting fog and cloud computing. IEEE Cloud Computing. 2017 Apr 26;4(2):18-20.
  20. Youssef AE. Exploring cloud computing services and applications. Journal of Emerging Trends in Computing and Information Sciences. 2012 Jul;3(6):838-47.
  21. AlSudiari MAT. Cloud Computing And Privacy Regulations: An Exploratory Study On Issues And Implications. Advanced Computing: An International Journal. 2012;3(2):159-169. doi:10.5121/acij.2012.3216
  22. Fang J, Feng T, Guo X, Ma R, Lu Y. Blockchain-cloud privacy-enhanced distributed industrial data trading based on verifiable credentials. Journal of Cloud Computing. 2024;13(1). doi:10.1186/s13677-023-00530-7