Title: QSFN: QoS-aware fog node provisioning in fog computing

Authors: Ashish Virendra Chandak; Niranjan Kumar Ray; Deepak Puthal

Addresses: School of Computer Engineering, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, Odisha, India; Department of Information Technology, Shri Ramdeobaba College of Engineering and Management, Nagpur, Maharashtra, India ' School of Computer Engineering, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, Odisha, India ' Department of Electrical Engineering and Computer Science, Khalifa University, Abu Dhabi, UAE

Abstract: The quantity of IoT gadgets is consistently expanding and these gadgets are delay-sensitive and require a speedy reaction. These gadgets are connected with a cloud for the computation of requests yet there may be a delay in computation. To beat the present circumstance, fog nodes are kept at the edge of the IoT gadgets to perform the speedy calculation for delay-delicate applications. IoT devices generate a tremendous number of tasks and if the task number is increased then the number of fog nodes needs to be increased for immediate processing. Here, QoS-aware Fog Node (QSFN) provisioning algorithm has been proposed in which the number of fog nodes is automatically increased based on CPU utilisation, queue length and the number of available resources. We evaluate the performance of QSFN provisioning with Bee Swarm and Concurrent algorithm based on makespan, average execution, flowtime, success execution rate and average response time.

Keywords: fog computing; scalability; IoT; fog node.

DOI: 10.1504/IJCAT.2022.126092

International Journal of Computer Applications in Technology, 2022 Vol.69 No.1, pp.36 - 46

Received: 28 Apr 2021
Accepted: 06 Jul 2021
Published online: 11 Oct 2022 *

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