Abstract
The vast amount of data generated from the various Internet of things (IoT) applications and management of such applications has become a major concern for researchers. Cloud computing can manage these situations but the distance between such applications and cloud data centres create havoc when latency is concerned. For handling such scenarios, where cloud alone cannot handle latency sensitive and real-time data analytics, the role of fog computing comes into the picture. Fog computing works in between the cloud computing and the IoT applications. Working as an intermediary it provides resource management, infrastructure monitoring, and data management. Sensors and actuators provide additional monitoring components for IoT applications like health care, surveillance, etc. This paper discusses the problems with the existing cloud infrastructure as far as IoT application deployment is concerned and how fog computing assists IoT applications for the smooth running. The recent developments specifically related to workload allocation and latency management are the highlight of this paper.
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Arora, U., Singh, N. (2022). Fog–Cloud-Assisted Internet of Things: A Review of Workload Allocation and Latency Management Techniques. In: Sharma, T.K., Ahn, C.W., Verma, O.P., Panigrahi, B.K. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1380. Springer, Singapore. https://doi.org/10.1007/978-981-16-1740-9_50
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DOI: https://doi.org/10.1007/978-981-16-1740-9_50
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