Ndlovu, LungisaniStofile, AkhonaMakgafela, Dashney MMiya, Sanele B2025-02-262025-02-262024-07979-8-3503-9591-4DOI: 10.1109/ICECET61485.2024.10698105http://hdl.handle.net/10204/14088Over 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 (IoT), 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.AbstractenCloud computingRoadmapImplementationDeploymentConference Presentation27821