Fog-to-cloud Computing (F2C): The key technology enabler for dependable e-health services deployment

Masip-Bruin, X.; Marín‐Tordera, Eva; Alonso, Albert; García, Jordi

doi:10.1109/medhocnet.2016.7528425

Cited by 56 publications

(30 citation statements)

References 6 publications

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“…Masip-Bruin et al [66] propose an architecture called Fog-to-Cloud computing (F2C), also aiming to support people affected by COPD. It consists of several components that span from the cloud to the fog.…”

Section: Cloud and Fog Federationmentioning

confidence: 99%

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A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges

Mouradian

Naboulsi

Yangui

et al. 2018

IEEE Commun. Surv. Tutorials

851

405

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Cloud computing with its three key facets (i.e., IaaS, PaaS, and SaaS) and its inherent advantages (e.g., elasticity and scalability) still faces several challenges. The distance between the cloud and the end devices might be an issue for latencysensitive applications such as disaster management and content delivery applications. Service Level Agreements (SLAs) may also impose processing at locations where the cloud provider does not have data centers. Fog computing is a novel paradigm to address such issues. It enables provisioning resources and services outside the cloud, at the edge of the network, closer to end devices or eventually, at locations stipulated by SLAs. Fog computing is not a substitute for cloud computing but a powerful complement. It enables processing at the edge while still offering the possibility to interact with the cloud. This article presents a comprehensive survey on fog computing. It critically reviews the state of the art in the light of a concise set of evaluation criteria. We cover both the architectures and the algorithms that make fog systems. Challenges and research directions are also introduced. In addition, the lessons learned are reviewed and the prospects are discussed in terms of the key role fog is likely to play in emerging technologies such as Tactile Internet.

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Section: Cloud and Fog Federationmentioning

confidence: 99%

“…Moreover, mobility is an important characteristic of healthcare applications, to help patients equipped with different sensors with their daily activities. However, except for Masip-Bruin et al [66] and Gia et al [69], other reviewed architectures do not meet this criterion (C4).…”

Section: D) Ecg and Eeg Feature Extractionmentioning

confidence: 99%

A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges

Mouradian

Naboulsi

Yangui

et al. 2018

IEEE Commun. Surv. Tutorials

851

405

View full text Add to dashboard Cite

show abstract

“…A recent analysis of an eHealth application shows that around 25,000 tuples of health data flows every second, which will increase with the proliferation of IoT and smart city implementations to millions of tuples [33]. Several solutions for Chronic Obstructive Pulmonary Disease (COPD) patients' assistance are proposed using Fog computing, which enable patients to roam and move freely with the automated provision of breathing and oxygen supply [113][6]. Such assistance system will save patients from health deterioration and hospital expenses.…”

Section: Healthcarementioning

confidence: 99%

“…In summary, the edge computing has been employed in healthcare to meet the real-time response requirements of applications. We have seen that edge computing plays a pivotal role in health applications for: (a) COPD patients that require real-time oxygen monitoring [113], (b) the monitoring of patients suffering from mild dementia [6], (c) fall detection and stroke mitigation applications [112] [116]. All such applications require real-time response, so cloud computing can be augmented with edge to perform computations near to the end users to reduce the latency and response time.…”

Section: Healthcarementioning

confidence: 99%

Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers

et al. 2018

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Advancements in smart devices, wearable gadgets, sensors, and communication paradigm have enabled the vision of smart cities, pervasive healthcare, augmented reality and interactive multimedia, Internet of Every Thing (IoE), and cognitive assistance, to name a few. All of these visions have one thing in common, i.e., delay sensitivity and instant response. Various new technologies designed to work at the edge of the network, such as fog computing, cloudlets, mobile edge computing, and micro data centers have emerged in the near past. We use the name "edge computing" for this set of emerging technologies. Edge computing is a promising paradigm to offer the required computation and storage resources with minimal delays because of "being near" to the users or terminal devices. Edge computing aims to bring cloud resources and services at the edge of the network, as a middle layer between end user and cloud data centers, to offer prompt service response with minimal delay. Two major aims of edge computing can be denoted as: (a) minimize response delay by servicing the users' request at the network edge instead of servicing it at far located cloud data centers, and (b) minimize downward and upward traffic volumes in the network core. Minimization of network core traffic inherently brings energy efficiency and data cost reductions. Downward network traffic can be minimized by servicing set of users at network edge instead of service provider's data centers (e.g., multimedia and shared data) Content Delivery Networks (CDNs), and upward traffic can be minimized by processing and filtering raw data (e.g., sensors monitored data) and uploading the processed information to cloud. This survey presents a detailed overview of potentials, trends, and challenges of edge computing. The survey illustrates a list of most significant applications and potentials in the area of edge computing. State of the art literature on edge computing domain is included in the survey to guide readers towards the current trends and future opportunities in the area of edge computing.

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“…Thus, the Fog-based storage strategies have to cope with this limitation. Besides, the analyzed works mention the performance related to the manipulation of information in the applications as the main reason to use Fog Computing in the health field [10,15,[20][21][22][23][24][25][26].…”

Section: Related Workmentioning

confidence: 99%

A Fog Computing-Based Architecture for Medical Records Management

Silva

Aquino

Melo

et al. 2019

Wireless Communications and Mobile Computing

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The aging of the world’s population and the growth in the number of people with chronic diseases have increased expenses with medical care. Thus, the use of technological solutions has been widely adopted in the medical field to improve the patients’ health. In this context, approaches based on Cloud Computing have been used to store and process the information generated in these solutions. However, using Cloud can create delays that are intolerable for medical applications. Thus, the Fog Computing paradigm emerged as an alternative to overcome this problem, bringing computation and storage closer to the data sources. However, managing medical data stored in Fog is still a challenge. Moreover, characteristics of availability, performance, interoperability, and privacy need to be considered in approaches that aim to explore this problem. So, this article shows a software architecture based on Fog Computing and designed to facilitate the management of medical records. This architecture uses Blockchain concepts to provide the necessary privacy features and to allow Fog Nodes to carry out the authorization process in a distributed way. Finally, this paper describes a case study that evaluates the performance, privacy, and interoperability requirements of the proposed architecture in a home-centered healthcare scenario.

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Fog-to-cloud Computing (F2C): The key technology enabler for dependable e-health services deployment

Cited by 56 publications

References 6 publications

A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges

A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges

Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers

A Fog Computing-Based Architecture for Medical Records Management

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