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A Layered Architecture for Fog Computing for an Effective Real Time Data Processing

by Garima Joshi, Pooja Deshpande, Prasun Joshi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Number 36
Year of Publication: 2018
Authors: Garima Joshi, Pooja Deshpande, Prasun Joshi
10.5120/ijca2018916899

Garima Joshi, Pooja Deshpande, Prasun Joshi . A Layered Architecture for Fog Computing for an Effective Real Time Data Processing. International Journal of Computer Applications. 180, 36 ( Apr 2018), 23-25. DOI=10.5120/ijca2018916899

@article{ 10.5120/ijca2018916899,
author = { Garima Joshi, Pooja Deshpande, Prasun Joshi },
title = { A Layered Architecture for Fog Computing for an Effective Real Time Data Processing },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2018 },
volume = { 180 },
number = { 36 },
month = { Apr },
year = { 2018 },
issn = { 0975-8887 },
pages = { 23-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume180/number36/29299-2018916899/ },
doi = { 10.5120/ijca2018916899 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:02:50.754412+05:30
%A Garima Joshi
%A Pooja Deshpande
%A Prasun Joshi
%T A Layered Architecture for Fog Computing for an Effective Real Time Data Processing
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 36
%P 23-25
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

IoT (Internet of Things) is one of the greatest needs and requirement of the today’s living. As we see we are in the era of sensor based devices and gadgets which are dealing with real time data with high volume that demands processing with high speed and velocity along with better security, not only the smart phones but smart homes, smart factory, smart grid, smart agricultural, even smart control systems like smart traffic A-Z are shifting towards IoT via sensors. When talking about the solution for processing and storing the large amount of data, one solution has come up is cloud but with increase in the application of sensors and real time devices, the resource management with high security of heterogeneous data is one of the key concern. We can say that cloud computing deals with computing and storage at the public cloud i.e. at data centers. Obviously, the user data takes longer duration to reach to the data centers and then it gets processed. So, fog computing is being introduced, that works at the user side i.e. at the private cloud thereby providing less time duration for processing the data with high security. It supports the virtualization and visualization and thus provides substantial amount of storage rather than trivial storage.

References
  1. Fog Computing and the Internet of Things” Extend the cloud to where the things are?”, Cisco, 2015.
  2. S. Sanjeev, S. Thus, R.V. College of Engineering, Bengaluru, “A Survey of Fog Computing and Its Applications” IJARIIT, Volume3, Issue2, 2017
  3. S. Yi, Zijiang Hao, Zhengrui Qin, and Qun Li“Fog Computing: Platform and Applications”, IEEE 2015
  4. Amir Vahid Dastjerdi and Rajkumar Buyya, University of Melbourne “Fog Computing: Helping the Internet of Things Realize its Potential”, IEEE computer society, 2016
  5. Amir Vahid Dastjerdi, Harshit Gupta, Rodrigo N. Calheiros, Soumya K. Ghosh, and Rajkumar Buyya, “Fog Computing Principles, Architectures, and Applications”,2016
  6. Salvatore J. Stolfo, Malek Ben Salem, Angelos D. Keromytis Fog Computing: Mitigating Insider Data Theft Attacks in the Cloud, IEEE, 2012
  7. Ivan Stojmenovic, Sheng Wen” The Fog Computing Paradigm: Scenarios and Security Issues” Federated Conference on Computer Science and Information Systems, 2014
  8. Shanhe Yi, Cheng Li, Qun Li A Survey of Fog Computing: Concepts, Applications and Issues, ACM, 2015.
Index Terms

Computer Science
Information Sciences

Keywords

Fog Nodes Edge network