Smart City Gnosys

Smart city article details

Title The Implementation, Deployment And Roadmap Of Fog Computing: A Review
ID_Doc 55814
Authors Ndlovu L.; Stofile A.; Makgafela D.; Miya S.
Year 2024
Published International Conference on Electrical, Computer, and Energy Technologies, ICECET 2024
DOI http://dx.doi.org/10.1109/ICECET61485.2024.10698105
Abstract Over the past few years, advances in computing and information technologies have significantly influenced and changed the way globalisation works or evolves over time. Today, users can access a wide range of high-performance and cost-effective services and resources through smart devices used in various environments, such as smart cities. With the spread of the Internet of Things (Io'T), these smart devices can easily exchange information regardless of time or location. These devices are actively involved in the generation, collection, and exchange of real-time data. These data records are then transmitted, processed, and stored in the cloud. However, cloud computing is struggling to cope with the daily increase in IoT devices, especially those that require low latency, mobility support, geo-distribution, and location-based information. This paradigm fails to provide mobile services efficiently due to the considerable distance between cloud data centres and end-users. To address these challenges, Cisco introduced fog computing in 2012. The concept of fog computing extends cloud computing to networks closer to users. With this paradigm, IoT devices can perform some computational tasks locally on fog nodes, eliminating the need to transmit all data to remote cloud data centres for processing, analysis, and storage. This not only reduces latency but also saves bandwidth and resources. Therefore, this paper's objective is to identify opportunities and trends that can be exploited by implementing and deploying fog computing. Furthermore, the study aims to provide a roadmap for the implementation and deployment of fog computing. © 2024 IEEE.
Author Keywords cloud computing; deployment; fog computing; implementation; internet of things (IoT); roadmap


Similar Articles


Id Similarity Authors Title Published
26756 View0.912Da Silva T.P.; Batista T.; Lopes F.; Neto A.R.; Delicato F.C.; Pires P.F.; Da Rocha A.R.Fog Computing Platforms For Smart City Applications: A SurveyACM Transactions on Internet Technology, 22, 4 (2022)
9763 View0.908Mahmud R.; Ramamohanarao K.; Buyya R.Application Management In Fog Computing Environments: A Taxonomy, Review And Future DirectionsACM Computing Surveys, 53, 4 (2021)
32182 View0.908Kuchuk H.; Malokhvii E.Integration Of Iot With Cloud, Fog, And Edge Computing: A ReviewAdvanced Information Systems, 8, 2 (2024)
26764 View0.908Mahmood Z.Fog Computing: Concepts, Frameworks And TechnologiesFog Computing: Concepts, Frameworks and Technologies (2018)
55549 View0.905Alli A.A.; Alam M.M.The Fog Cloud Of Things: A Survey On Concepts, Architecture, Standards, Tools, And ApplicationsInternet of Things (Netherlands), 9 (2020)
26743 View0.902Hazra A.; Rana P.; Adhikari M.; Amgoth T.Fog Computing For Next-Generation Internet Of Things: Fundamental, State-Of-The-Art And Research ChallengesComputer Science Review, 48 (2023)
1421 View0.902Hussein W.N.; Hussain H.N.; Hussain H.N.; Mallah A.Q.A Deployment Model For Iot Devices Based On Fog Computing For Data Management And AnalysisWireless Personal Communications (2023)
55710 View0.897Sohail F.; Haider H.; Ismat N.The Impact Of Fog Computing In The Iot World2023 Global Conference on Wireless and Optical Technologies, GCWOT 2023 (2023)
16180 View0.896Nair A.V.; Nachappa M.N.; Singh V.Coordinated Fog-To-Cloud System Managing2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023 (2023)
9504 View0.894Pflanzner T.; Kertesz A.Analyzing Iot, Fog And Cloud Environments Using Real Sensor DataFog Computing: Concepts, Frameworks and Technologies (2018)