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Resource Allocation in Fog Computing

Resource Allocation in Fog Computing

Gopal K. Shyam, Priyanka Bharti
Copyright: © 2023 |Pages: 9
ISBN13: 9781668444665|ISBN10: 1668444666|ISBN13 Softcover: 9781668444672|EISBN13: 9781668444689
DOI: 10.4018/978-1-6684-4466-5.ch002
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MLA

Shyam, Gopal K., and Priyanka Bharti. "Resource Allocation in Fog Computing." Multi-Disciplinary Applications of Fog Computing: Responsiveness in Real-Time, edited by Debi Prasanna Acharjya and Kauser Ahmed P., IGI Global, 2023, pp. 21-29. https://doi.org/10.4018/978-1-6684-4466-5.ch002

APA

Shyam, G. K. & Bharti, P. (2023). Resource Allocation in Fog Computing. In D. Acharjya & K. P. (Eds.), Multi-Disciplinary Applications of Fog Computing: Responsiveness in Real-Time (pp. 21-29). IGI Global. https://doi.org/10.4018/978-1-6684-4466-5.ch002

Chicago

Shyam, Gopal K., and Priyanka Bharti. "Resource Allocation in Fog Computing." In Multi-Disciplinary Applications of Fog Computing: Responsiveness in Real-Time, edited by Debi Prasanna Acharjya and Kauser Ahmed P., 21-29. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-4466-5.ch002

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Abstract

Cloud computing has already demonstrated its effectiveness in managing internet of things (IoT) applications and computationally intensive tasks and resources. Due to the substantial delay imparted by the network, cloud computing is not recommended for latency-critical applications. Excessive data flow and connections to data centers may clog up the system. Fog computing was developed to meet this difficulty. It is designed to expand the cloud computing capabilities to increase the quality of service (QoS) of such computing applications with a high latency requirement. In comparison to cloud datacenters, fog devices are dynamic and varied. In this chapter, the authors provide a solution to resource allocation issue in fog computing. The performance metrics such as scalability, reliability, and availability are optimized compared to the existing approaches.

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