Abstract
Fog computing is introduced to improve the performance of cloud computing by deploying fog node(s) near the edge of the network in order to process the data locally. A fog node that acts like a mini cloud with limited resources handles the incoming real-time data, processes it locally and responds back to the edge device. This process has advantage of achieving minimum delay which is considered as a main drawback of cloud computing these days. As fog computing is in its early stage of development, so there are many issues and challenges associated with it, like limited resources of the fog node and processing of real-time task(s) with optimal use of available resources which is also known as task scheduling in fog computing. Task scheduling is one of the important aspects of fog computing that, if carried out efficiently, can largely improve the delay of a service, reduce energy consumption and cut down network traffic. This paper investigates various issues and challenges of fog task scheduling with existing research. Further, the papers also provide solution to various aspects of task scheduling through a novel task scheduling model for fog computing environment.
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Kaur, N., Kumar, A., Kumar, R. (2021). A Novel Task Scheduling Model for Fog Computing. In: Ranganathan, G., Chen, J., Rocha, Á. (eds) Inventive Communication and Computational Technologies. Lecture Notes in Networks and Systems, vol 145. Springer, Singapore. https://doi.org/10.1007/978-981-15-7345-3_72
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DOI: https://doi.org/10.1007/978-981-15-7345-3_72
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