IJSDR
IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: May 2024

Volume 9 | Issue 5

Impact factor: 8.15

Click Here For more Info

Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter

Copyright Infringement Claims
Indexing Partner
Published Paper Details
Paper Title: A study of the efficacy of the quality of service and the challenges of cloud computing and fog computing in low latency demand near-real-time IoT applications: a survey
Authors Name: Dr.Chinmoy Bharadwaj
Unique Id: IJSDR2307175
Published In: Volume 8 Issue 7, July-2023
Abstract: This paper is a study of the existing real-time applications for fog, edge, and cloud computing. Some security challenges of cloud computing as well as Fog, and edge computing has been applied in the area of near real-time IoT applications. The paper also develops a basic framework diagram for Fog, Edge, and Cloud Computing to reduce the delay period between the data center with the constrained bandwidths for quicker data transfer in near real-time IoT applications. An effective fog computing technique was required to solve the fog, edge, and cloud computing problem with low latency and a finite number of bandwidths for higher efficacy in near real-time IoT applications due to a huge growth in the availability of datasets with different data types. Here our research works out the existing vulnerabilities, threats, and countermeasures in the cloud computing model and fog computing model with concerning layers and presents a solution for Fog and Edge Computing threats in near real-time IoT applications faced by the cloud user in the fog, edge, cloud environment which gave some observations into countermeasures and controls. Lastly, we concluded the paper by highlighting some open challenges in terms of security management, computation, storage, and energy consumption that can be further studied by a researcher in depth to increase the efficacy of fog computing in the cloud. This research paper brought light to the drawbacks of cloud computing, including its inability to identify threats and vulnerabilities, its reliance on energy application interface protocols, and its poor resource management among multiple fog nodes. The paper will further enlighten the near real-time IoT application of Fog, Edge, and Cloud Computing related to healthcare services and media streaming services.
Keywords: Cloud computing model, Fog computing, Edge computing, IoT, Vulnerabilities, Threats, Countermeasures.
Cite Article: "A study of the efficacy of the quality of service and the challenges of cloud computing and fog computing in low latency demand near-real-time IoT applications: a survey", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 7, page no.1180 - 1187, July-2023, Available :http://www.ijsdr.org/papers/IJSDR2307175.pdf
Downloads: 000338536
Publication Details: Published Paper ID: IJSDR2307175
Registration ID:207949
Published In: Volume 8 Issue 7, July-2023
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.36207
Page No: 1180 - 1187
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

Click Here to Download This Article

Article Preview

Click here for Article Preview







Major Indexing from www.ijsdr.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

Track Paper
Important Links
Conference Proposal
ISSN
DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to GET DOI and Hard Copy Related
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Creative Commons License
This material is Open Knowledge
This material is Open Data
This material is Open Content
Social Media
IJSDR

Indexing Partner