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
Cloud computing model, Fog computing, Edge computing, IoT, Vulnerabilities, Threats, Countermeasures.
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.
"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", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 7, page no.1180 - 1187, July-2023, Available :https://ijsdr.org/papers/IJSDR2307175.pdf
Volume 8
Issue 7,
July-2023
Pages : 1180 - 1187
Paper Reg. ID: IJSDR_207949
Published Paper Id: IJSDR2307175
Downloads: 000347558
Research Area: Computer Engineering
Country: Nagaon, Assam, India
DOI: http://doi.one/10.1729/Journal.36207
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
