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

Naha, Ranesh K., Garg, Saurabh, Georgakopoulos, Dimitrios, Jayaraman, Prem Prakash, Gao, Longxiang, Xiang, Yong and Ranjan, Rajiv 2018, Fog computing: survey of trends, architectures, requirements, and research directions, IEEE access, doi: 10.1109/ACCESS.2018.2866491.

Attached Files
Name Description MIMEType Size Downloads

Title Fog computing: survey of trends, architectures, requirements, and research directions
Author(s) Naha, Ranesh K.
Garg, Saurabh
Georgakopoulos, Dimitrios
Jayaraman, Prem Prakash
Gao, LongxiangORCID iD for Gao, Longxiang orcid.org/0000-0002-3026-7537
Xiang, YongORCID iD for Xiang, Yong orcid.org/0000-0003-3545-7863
Ranjan, Rajiv
Journal name IEEE access
Total pages 31
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2018-08-22
ISSN 2169-3536
Summary OAPA 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 Fogbased 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.
Notes In Press
Language eng
DOI 10.1109/ACCESS.2018.2866491
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2018, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30113604

Document type: Journal Article
Collection: School of Information Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 29 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Tue, 11 Sep 2018, 14:20:23 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.