The concept “fog computing” — The evolutionary stage of development of infocommunication technologies

Gadasin, D. V.; Shvedov, A. V.; Ermolovich, Alexander V.

doi:10.1109/sosg.2018.8350582

Cited by 11 publications

(1 citation statement)

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“…Fog computing is a computing architecture that extends cloud computing by enabling data processing at the network edge instead of the central cloud computing server for small and tiny devices, also known as Internet of Things (IoT) devices [1,2]. IoT and Industrial Internet of things (IIoT) devices are increasing by 35% annually, and IoT and IIoT businesses will be worth around USD 7.1 trillion to the United States and EUR 1.2 trillion to Europe by 2030 [3].…”

Section: Introductionmentioning

confidence: 99%

Scalable Fog Computing Orchestration for Reliable Cloud Task Scheduling

Lim

2021

Applied Sciences

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As Internet of Things (IoT) and Industrial Internet of Things (IIoT) devices are becoming increasingly popular in the era of the Fourth Industrial Revolution, the orchestration and management of numerous fog devices encounter a scalability problem. In fog computing environments, to embrace various types of computation, cloud virtualization technology is widely used. With virtualization technology, IoT and IIoT tasks can be run on virtual machines or containers, which are able to migrate from one machine to another. However, efficient and scalable orchestration of migrations for mobile users and devices in fog computing environments is not an easy task. Naïve or unmanaged migrations may impinge on the reliability of cloud tasks. In this paper, we propose a scalable fog computing orchestration mechanism for reliable cloud task scheduling. The proposed scalable orchestration mechanism considers live migrations of virtual machines and containers for the edge servers to reduce both cloud task failures and suspended time when a device is disconnected due to mobility. The performance evaluation shows that our proposed fog computing orchestration is scalable while preserving the reliability of cloud tasks.

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Section: Introductionmentioning

confidence: 99%