Fog computing: from architecture to edge computing and big data processing

Cloud computing plays a vital role in processing a large amount of data. However, with the arrival of the Internet of Things, huge data are generated from these devices. Thus, there is the need for bringing characteristics of cloud closer to the request generator, so that processing of these huge da...

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Published in:	The Journal of supercomputing Vol. 75; no. 4; pp. 2070 - 2105
Main Authors:	Singh, Simar Preet, Nayyar, Anand, Kumar, Rajesh, Sharma, Anju
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.04.2019 Springer Nature B.V
Subjects:	Big Data Cloud computing Communications traffic Compilers Computer Science Data management Data processing Edge computing Interpreters Processor Architectures Programming Languages Taxonomy Fog computing Cloud computing Fog node Architecture Fog network
ISSN:	0920-8542, 1573-0484
Online Access:	Get full text
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Abstract	Cloud computing plays a vital role in processing a large amount of data. However, with the arrival of the Internet of Things, huge data are generated from these devices. Thus, there is the need for bringing characteristics of cloud closer to the request generator, so that processing of these huge data takes place at one-hop distance closer to that end user. This led to the emergence of fog computing with the aim to provide storage and computation at the edge of the network that reduces network traffic and overcomes many cloud computing drawbacks. Fog computing technology helps to overcome challenges of big data processing. The paper discusses the taxonomy of fog computing, how this is different from cloud computing and edge computing technologies, its applications, emerging key technologies (i.e., communication technologies and storage technologies) and various challenges involved in fog technology.
AbstractList	Cloud computing plays a vital role in processing a large amount of data. However, with the arrival of the Internet of Things, huge data are generated from these devices. Thus, there is the need for bringing characteristics of cloud closer to the request generator, so that processing of these huge data takes place at one-hop distance closer to that end user. This led to the emergence of fog computing with the aim to provide storage and computation at the edge of the network that reduces network traffic and overcomes many cloud computing drawbacks. Fog computing technology helps to overcome challenges of big data processing. The paper discusses the taxonomy of fog computing, how this is different from cloud computing and edge computing technologies, its applications, emerging key technologies (i.e., communication technologies and storage technologies) and various challenges involved in fog technology.
Author	Nayyar, Anand Singh, Simar Preet Sharma, Anju Kumar, Rajesh
Author_xml	– sequence: 1 givenname: Simar Preet orcidid: 0000-0002-2443-7835 surname: Singh fullname: Singh, Simar Preet email: dr.simarpreetsingh@gmail.com organization: Thapar Institute of Engineering and Technology – sequence: 2 givenname: Anand surname: Nayyar fullname: Nayyar, Anand organization: Duy Tan University – sequence: 3 givenname: Rajesh surname: Kumar fullname: Kumar, Rajesh organization: Thapar Institute of Engineering and Technology – sequence: 4 givenname: Anju surname: Sharma fullname: Sharma, Anju organization: MRSPTU
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Snippet	Cloud computing plays a vital role in processing a large amount of data. However, with the arrival of the Internet of Things, huge data are generated from...
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SubjectTerms	Big Data Cloud computing Communications traffic Compilers Computer Science Data management Data processing Edge computing Interpreters Processor Architectures Programming Languages Taxonomy
Title	Fog computing: from architecture to edge computing and big data processing
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