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Erschienen in:
2021 | OriginalPaper | Buchkapitel
Development and Simulation of a Novel Approach for Dynamic Workload Allocation Between Fog and Cloud Servers
verfasst von : Animesh Kumar Tiwari, Anurag Dutta, Ashutosh Tewari, Rajasekar Mohan
Erschienen in: Advances in Machine Learning and Computational Intelligence
Verlag: Springer Singapore
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Abstract
Fog computing has been a prominent research domain in computing field in the recent years. It is a platform that brings the concept of cloud computing closer to the user at the edge of the network and thus the name “edge computing”. Fog is a cloud closer to the ground. Fog computing has reduced network latency compared to cloud computing. In this paper, we address the issue of workload distribution between fog servers and cloud servers. Effective workload distribution leads to reduced latencies and higher throughputs which will enable ISPs to retain customers and improve goodwill between them. Our approach incorporates introduction of a controller between the users and fog/cloud servers. The controller using a novel algorithm effectively distributes the dynamic traffic workload between the fog and cloud servers based on a number of factors such as priorities, resources required and delay tolerable to achieve desired quality of service.