Fog Computing Resource Optimization: A Review on Current Scenarios and Resource Management

            The unpredictable and huge data generation nowadays by smart computing devices like (Sensors, Actuators, Wi-Fi routers), to handle and maintain their computational processing power in real time environment by centralized cloud platform is difficult because of its limitations, issues and...

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Main Author: Dar et al.
Format: Article
Language:Arabic
Published: College of Science for Women, University of Baghdad 2019-06-01
Series:Baghdad Science Journal
Subjects:
Online Access:http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/3479
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spelling doaj-dcad2335c1ba46d780edee9f34b944b72020-11-24T22:09:22ZaraCollege of Science for Women, University of BaghdadBaghdad Science Journal2078-86652411-79862019-06-0116210.21123/bsj.16.2.0419Fog Computing Resource Optimization: A Review on Current Scenarios and Resource ManagementDar et al.             The unpredictable and huge data generation nowadays by smart computing devices like (Sensors, Actuators, Wi-Fi routers), to handle and maintain their computational processing power in real time environment by centralized cloud platform is difficult because of its limitations, issues and challenges, to overcome these, Cisco introduced the Fog computing paradigm as an alternative for cloud-based computing. This recent IT trend is taking the computing experience to the next level. It is an extended and advantageous extension of the centralized cloud computing technology. In this article, we tried to highlight the various issues that currently cloud computing is facing. Here in this research article, we present a comprehensive review of fog computing, differentiating it from cloud computing, also present various use-cases of fog computing in different domains, we came to conclude that Fog computing leads in an efficient energy resource management, leveraging the energy both in terms of consumption and cost scenarios. Further, we highlighted its key features, challenges and issues, resource optimization methods. http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/3479Actuators, Cisco, Cloud computing, Fog computing, Resource management, Sensors.
collection DOAJ
language Arabic
format Article
sources DOAJ
author Dar et al.
spellingShingle Dar et al.
Fog Computing Resource Optimization: A Review on Current Scenarios and Resource Management
Baghdad Science Journal
Actuators, Cisco, Cloud computing, Fog computing, Resource management, Sensors.
author_facet Dar et al.
author_sort Dar et al.
title Fog Computing Resource Optimization: A Review on Current Scenarios and Resource Management
title_short Fog Computing Resource Optimization: A Review on Current Scenarios and Resource Management
title_full Fog Computing Resource Optimization: A Review on Current Scenarios and Resource Management
title_fullStr Fog Computing Resource Optimization: A Review on Current Scenarios and Resource Management
title_full_unstemmed Fog Computing Resource Optimization: A Review on Current Scenarios and Resource Management
title_sort fog computing resource optimization: a review on current scenarios and resource management
publisher College of Science for Women, University of Baghdad
series Baghdad Science Journal
issn 2078-8665
2411-7986
publishDate 2019-06-01
description             The unpredictable and huge data generation nowadays by smart computing devices like (Sensors, Actuators, Wi-Fi routers), to handle and maintain their computational processing power in real time environment by centralized cloud platform is difficult because of its limitations, issues and challenges, to overcome these, Cisco introduced the Fog computing paradigm as an alternative for cloud-based computing. This recent IT trend is taking the computing experience to the next level. It is an extended and advantageous extension of the centralized cloud computing technology. In this article, we tried to highlight the various issues that currently cloud computing is facing. Here in this research article, we present a comprehensive review of fog computing, differentiating it from cloud computing, also present various use-cases of fog computing in different domains, we came to conclude that Fog computing leads in an efficient energy resource management, leveraging the energy both in terms of consumption and cost scenarios. Further, we highlighted its key features, challenges and issues, resource optimization methods.
topic Actuators, Cisco, Cloud computing, Fog computing, Resource management, Sensors.
url http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/3479
work_keys_str_mv AT daretal fogcomputingresourceoptimizationareviewoncurrentscenariosandresourcemanagement
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