Quality of service‐aware approaches in fog computing

Abstract

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.

Big data analytics meets social media: A systematic review of techniques, open issues, and future directions

“…In contrast to other types of review papers, an SLR is a process of presenting a taxonomical review and performing a methodological analysis of the research literature to find the answers to problems and the given research questions related to specific research topics. The SLR has been used for the first time in medical fields and can be conducted in any field of study for an accurate understanding, reducing bias, and identifying open issues and future directions ( Rahimi et al, 2020 , Haghi Kashani et al, 2020 ). Since most review articles on big data analytic approaches in social networks were written in unstructured procedures, the purpose of this paper is to provide a rigorous process of the methodological steps for researching the literature in this scope.…”

“…According to the goals of this SLR, in the previous stage, the research questions and the review scope were identified to adjust search strings for literature extraction ( Brereton et al, 2007 ). Moreover, a protocol was developed by following ( Calero et al, 2013 ) and our previous experience with SLR ( Haghi Kashani et al, 2020 ); ( Rahimi et al, 2020 ). To evaluate the defined protocol before its execution, we requested an external specialist for feedback, who was experienced in conducting SLRs in this era.…”

An Overview on Analyzing Deep Learning and Transfer Learning Approaches for Health Monitoring

“…To choose approaches, this paper speaks to merits, bad marks, instruments, assessment types, and factors. At long last, based on the surveyed examiners, it proposes some open issues and difficulties which are worth further contemplating, furthermore, investigating in mindful methodologies in cloud figuring [24].…”

An experimental study of fog and cloud computing in CEP-based Real-Time IoT applications

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