Resource Management Techniques for Cloud/Fog and Edge Computing: An Evaluation Framework and Classification

Mijuskovic, Adriana; Chiumento, Alessandro; Bemthuis, Rob; Aldea, Adina; Havinga, Paul J.M.

doi:10.3390/s21051832

Cited by 80 publications

(43 citation statements)

References 43 publications

(92 reference statements)

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“…The proposed Cloud-Fog-Edge architecture takes into consideration the fact that resource awareness must exist vertically [ 6 , 14 , 15 ]. Through this, the authors desire to obtain the intelligent reduction of the data amounts transmitted from the Edge areas (robots, IoT devices, etc.)…”

Section: Methodsmentioning

confidence: 99%

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Method to Increase Dependability in a Cloud-Fog-Edge Environment

Stan

Enyedi

Corches

et al. 2021

Sensors

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Robots can be very different, from humanoids to intelligent self-driving cars or just IoT systems that collect and process local sensors’ information. This paper presents a way to increase dependability for information exchange and processing in systems with Cloud-Fog-Edge architectures. In an ideal interconnected world, the recognized and registered robots must be able to communicate with each other if they are close enough, or through the Fog access points without overloading the Cloud. In essence, the presented work addresses the Edge area and how the devices can communicate in a safe and secure environment using cryptographic methods for structured systems. The presented work emphasizes the importance of security in a system’s dependability and offers a communication mechanism for several robots without overburdening the Cloud. This solution is ideal to be used where various monitoring and control aspects demand extra degrees of safety. The extra private keys employed by this procedure further enhance algorithm complexity, limiting the probability that the method may be broken by brute force or systemic attacks.

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Section: Methodsmentioning

confidence: 99%

“…Through this, the authors desire to obtain the intelligent reduction of the data amounts transmitted from the Edge areas (robots, IoT devices, etc.) through the Cloud [ 15 ]. Moreover, this architecture is based on a highly parallelized computing paradigm and needs a decentralization of the analysis algorithms.…”

Section: Methodsmentioning

confidence: 99%

Method to Increase Dependability in a Cloud-Fog-Edge Environment

Stan

Enyedi

Corches

et al. 2021

Sensors

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“…IoT technology connects devices with each other, and with an Internet connection, it provides a better and meaningful association of everyday things and people [ 70 ]; this is also why it is called the Internet of Everything (IoE). The failures of the healthcare systems even in well-developed nations during the pandemic have been due resources not being well developed and managed.…”

Section: Research Directions In Terms Of Wearables For the Covid-19 Pandemicmentioning

confidence: 99%

The Rise of Wearable Devices during the COVID-19 Pandemic: A Systematic Review

Channa

Popescu

Skibińska

et al. 2021

Sensors

126

104

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The COVID-19 pandemic has wreaked havoc globally and still persists even after a year of its initial outbreak. Several reasons can be considered: people are in close contact with each other, i.e., at a short range (1 m), and the healthcare system is not sufficiently developed or does not have enough facilities to manage and fight the pandemic, even in developed countries such as the USA and the U.K. and countries in Europe. There is a great need in healthcare for remote monitoring of COVID-19 symptoms. In the past year, a number of IoT-based devices and wearables have been introduced by researchers, providing good results in terms of high accuracy in diagnosing patients in the prodromal phase and in monitoring the symptoms of patients, i.e., respiratory rate, heart rate, temperature, etc. In this systematic review, we analyzed these wearables and their need in the healthcare system. The research was conducted using three databases: IEEE Xplore®, Web of Science®, and PubMed Central®, between December 2019 and June 2021. This article was based on the PRISMA guidelines. Initially, 1100 articles were identified while searching the scientific literature regarding this topic. After screening, ultimately, 70 articles were fully evaluated and included in this review. These articles were divided into two categories. The first one belongs to the on-body sensors (wearables), their types and positions, and the use of AI technology with ehealth wearables in different scenarios from screening to contact tracing. In the second category, we discuss the problems and solutions with respect to utilizing these wearables globally. This systematic review provides an extensive overview of wearable systems for the remote management and automated assessment of COVID-19, taking into account the reliability and acceptability of the implemented technologies.

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“…The review article “Resource Management Techniques for Cloud/Edge and Edge Computing: An Evaluation Framework and Classification” authored by Adriana Mijuskovic et al [ 1 ] provides a comprehensive review on the resource management techniques applied for cloud, fog, and edge computing. They first classify various techniques into six classes, such as discovery, load-balancing, off-loading, deployment, QoS (quality of service), and energy management according to the goal and methodologies, and then analyze each algorithm from the viewpoint of the resource management types, such as resource allocation, workload balance, resource provisioning, and task scheduling.…”

mentioning

confidence: 99%