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Fog Computing: survey of trends, architectures, requirements, and research directions

Citation

Naha, RK and Garg, SK and Georgakopoulos, D and Jayaraman, PP and Gao, L and Xiang, Y and Ranjan, R, Fog Computing: survey of trends, architectures, requirements, and research directions, IEEE Access, 6 pp. 47980-48009. ISSN 2169-3536 (2018) [Substantial Review]


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Official URL: https://ieeexplore.ieee.org/abstract/document/8444...

DOI: doi:10.1109/ACCESS.2018.2866491

Abstract

Emerging technologies like the Internet of Things (IoT) require latency-aware computation for real-time application processing. In IoT environments, connected things generate a huge amount of data, which are generally referred to as big data. Data generated from IoT devices are generally processed in a cloud infrastructure because of the on-demand services and scalability features of the cloud computing paradigm. However, processing IoT application requests on the cloud exclusively is not an efficient solution for some IoT applications, especially time-sensitive ones. To address this issue, Fog computing, which resides in between cloud and IoT devices, was proposed. In general, in the Fog computing environment, IoT devices are connected to Fog devices. These Fog devices are located in close proximity to users and are responsible for intermediate computation and storage. One of the key challenges in running IoT applications in a Fog computing environment are resource allocation and task scheduling. Fog computing research is still in its infancy, and taxonomy-based investigation into the requirements of Fog infrastructure, platform, and applications mapped to current research is still required. This survey will help the industry and research community synthesize and identify the requirements for Fog computing. This paper starts with an overview of Fog computing in which the definition of Fog computing, research trends, and the technical differences between Fog and cloud are reviewed. Then, we investigate numerous proposed Fog computing architecture and describe the components of these architectures in detail. From this, the role of each component will be defined, which will help in the deployment of Fog computing. Next, a taxonomy of Fog computing is proposed by considering the requirements of the Fog computing paradigm. We also discuss existing research works and gaps in resource allocation and scheduling, fault tolerance, simulation tools, and Fog-based microservices. Finally, by addressing the limitations of current research works, we present some open issues, which will determine the future research direction for the Fog computing paradigm

Item Details

Item Type:Substantial Review
Keywords:IoT, survey
Research Division:Information and Computing Sciences
Research Group:Distributed Computing
Research Field:Distributed and Grid Systems
Objective Division:Information and Communication Services
Objective Group:Computer Software and Services
Objective Field:Application Tools and System Utilities
Author:Naha, RK (Mr Ranesh Kumar Naha)
Author:Garg, SK (Dr Saurabh Garg)
ID Code:128688
Year Published:2018
Deposited By:Information and Communication Technology
Deposited On:2018-10-06
Last Modified:2018-10-08
Downloads:0

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