Fog-based smart homes: A systematic review

Rahimi, Morteza; Songhorabadi, Maryam; Kashani, Mostafa Haghi

doi:10.1016/j.jnca.2020.102531

Cited by 72 publications

(37 citation statements)

References 50 publications

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“…This work tried to provide a complete view of fog computing, and thus did not detailedly review any related work. Rahimi et al [36] presented a systematic literature review method for fog-based smart homes, and reviewed selected 22 related resource and service management approaches, including 7 task scheduling/offloading methods for smart home-fog-cloud environments.…”

Section: C: Case 3: User 3 Moving Outside Edgesmentioning

confidence: 99%

A Survey and Taxonomy on Task Offloading for Edge-Cloud Computing

Wang

Huang

et al. 2020

IEEE Access

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Edge-cloud computing, combining the benefits of both edge computing and cloud computing, is one of the most promising ways to address the resource insufficiency of smart devices. Task offloading is an important challenge must be addressed for edge-cloud computing in practice, which decides the place and the time for performing each task. Even though there is existing research focusing on the task offloading in edge-cloud computing, a lot of problems should be solved before the application of these offloading technologies. Thus, in this article, we first propose a taxonomy of task offloading in edge-cloud environments to investigate and classify related research articles, and then summarize several challenges which have not been addressed for future research directions on this area to promote the development of edge-cloud market.

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Section: C: Case 3: User 3 Moving Outside Edgesmentioning

confidence: 99%

A Survey and Taxonomy on Task Offloading for Edge-Cloud Computing

Wang

Huang

et al. 2020

IEEE Access

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“…More precisely, this section aims to demonstrate related research with this article in a way that it is possible to demonstrate its contributions compared to current research. In the fog and health scope, a few articles propose systematic literature reviews employing different methodologies [15][16][17][18]20,36]. In [18], the authors present a literature review on pervasive health applications, focusing on identifying characteristics of such applications that might benefit from fog computing environments.…”

Section: Related Work and Motivationmentioning

confidence: 99%

“…According to the authors, these categories were derived from previous studies and aimed to cover articles that focus on models, implemented architectures, and literature reviews. In [20], the authors presented a literature review focused on fog computing for smart home scenarios. The authors' strategy consisted of a systematic literature review that seeks to answer six research questions regarding fog-based smart home applications.…”

Section: Related Work and Motivationmentioning

confidence: 99%

“…Half of the articles focus only on fog computing as technology, while the other half also include at least one more technology in their evaluation. Considering if they present a taxonomy in their research or not, the last three articles propose a taxonomy with their findings [15,20,36]. On the one hand, the authors in [15] presented a taxonomy dividing the strategies into three categories in which they classified if the articles present methods or systems, or perform literature reviews.…”

Section: Related Work and Motivationmentioning

confidence: 99%

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Looking at Fog Computing for E-Health through the Lens of Deployment Challenges and Applications

Vilela

Rodrigues

Righi

et al. 2020

Sensors

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Fog computing is a distributed infrastructure where specific resources are managed at the network border using cloud computing principles and technologies. In contrast to traditional cloud computing, fog computing supports latency-sensitive applications with less energy consumption and a reduced amount of data traffic. A fog device is placed at the network border, allowing data collection and processing to be physically close to their end-users. This characteristic is essential for applications that can benefit from improved latency and response time. In particular, in the e-Health field, many solutions rely on real-time data to monitor environments, patients, and/or medical staff, aiming at improving processes and safety. Therefore, fog computing can play an important role in such environments, providing a low latency infrastructure. The main goal of the current research is to present fog computing strategies focused on electronic-Health (e-Health) applications. To the best of our knowledge, this article is the first to propose a review in the scope of applications and challenges of e-Health fog computing. We introduce some of the available e-Health solutions in the literature that focus on latency, security, privacy, energy efficiency, and resource management techniques. Additionally, we discuss communication protocols and technologies, detailing both in an architectural overview from the edge devices up to the cloud. Differently from traditional cloud computing, the fog concept demonstrates better performance in terms of time-sensitive requirements and network data traffic. Finally, based on the evaluation of the current technologies for e-Health, open research issues and challenges are identified, and further research directions are proposed.

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“…5,6 To be specific, instead of sending all data collected to the cloud, FC suggests to processing data at the edges. FC can be used in several related domains, including big data analytics, 7,8 Internet of Things (IoT), 9,10 wireless sensor networks, [11][12][13] smart homes, 14 smart cities, 15 health care, 16 and mobile/wearable computing. 17,18 The benefits of FC are increasing throughput, reducing latency, saving energy, consolidating resources, and enhancing privacy and security.…”

Section: Introductionmentioning

confidence: 99%

Quality of service‐aware approaches in fog computing

Kashani

Rahmani

Navimipour

2020

Int J Communication

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Summary In recent years, fog computing, a novel paradigm, has emerged for location and latency‐sensitive applications. It is a powerful complement for cloud computing that enables provisioning services and resources outside the cloud near the end devices. In a fog system, the existence of several nonhomogenous devices, which are potentially mobile, led to quality of service (QoS) worries. QoS‐aware approaches are presented in various parts of the fog system, and several different QoS factors are taken into account. In spite of the importance of QoS in fog computing, no comprehensive study on QoS‐aware approaches exists in fog computing. Hence, this paper reviews the current research used to guarantee QoS in fog computing. This paper investigates the QoS‐ensuring techniques that fall into three categories: service/resource management, communication management, and application management (published between 2013 and October 2018). Regarding the selected approaches, this paper represents merits, demerits, tools, evaluation types, and QoS factors. Finally, on the basis of the reviewed studies, we suggest some open issues and challenges which are worth further studying and researching in QoS‐aware approaches in fog computing.

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Fog-based smart homes: A systematic review

Cited by 72 publications

References 50 publications

A Survey and Taxonomy on Task Offloading for Edge-Cloud Computing

A Survey and Taxonomy on Task Offloading for Edge-Cloud Computing

Looking at Fog Computing for E-Health through the Lens of Deployment Challenges and Applications

Quality of service‐aware approaches in fog computing

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