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

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2025 | Volume : 02 | Issue : 02 | Page : 62 69
    By

    Bhoomi Nelwade,

  • Jahnvi Yadwad,

  • Adeeb Khazi,

  • Sairaj Patil,

  • Aditya Suresh Kasar,

  1. Student, Department of Electrical Engineering, Shri Vile Parle Kelavani Mandal’s Narsee Monjee Institute of Management Studies, Kharghar, Navi Mumbai, Maharashtra, India
  2. Student, Department of Electrical Engineering, Shri Vile Parle Kelavani Mandal’s Narsee Monjee Institute of Management Studies, Kharghar, Navi Mumbai, Maharashtra, India
  3. Student, Department of Electrical Engineering, Shri Vile Parle Kelavani Mandal’s Narsee Monjee Institute of Management Studies, Kharghar, Navi Mumbai, Maharashtra, India
  4. Student, Department of Electrical Engineering, Shri Vile Parle Kelavani Mandal’s Narsee Monjee Institute of Management Studies, Kharghar, Navi Mumbai, Maharashtra, India
  5. Assistant Professor, Department of Electrical Engineering, Shri Vile Parle Kelavani Mandal’s Narsee Monjee Institute of Management Studies, Kharghar, Navi Mumbai, Maharashtra, India

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: Edge computing, cloud computing, latency reduction, efficiency, scalability, performance, privacy/security, data processing, empirical analysis, system design

[This article belongs to International Journal of Satellite Remote Sensing ]

How to cite this article:
Bhoomi Nelwade, Jahnvi Yadwad, Adeeb Khazi, Sairaj Patil, Aditya Suresh Kasar. Implementing and Analyzing Network Commands in Cloud and Edge Computing Environments with Cisco Simulators. International Journal of Satellite Remote Sensing. 2024; 02(02):62-69.
How to cite this URL:
Bhoomi Nelwade, Jahnvi Yadwad, Adeeb Khazi, Sairaj Patil, Aditya Suresh Kasar. Implementing and Analyzing Network Commands in Cloud and Edge Computing Environments with Cisco Simulators. International Journal of Satellite Remote Sensing. 2024; 02(02):62-69. Available from: https://journals.stmjournals.com/ijsrs/article=2024/view=191850


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Regular Issue Subscription Review Article
Volume 02
Issue 02
Received 15/11/2024
Accepted 21/11/2024
Published 30/11/2024
252

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