Comparison of Fog Computing &amp; Cloud Computing

Kumar, Vishal; Laghari, Asif Ali; Karim, Shahid; Shakir, Muhammad Zeeshan; Brohi, Ali Anwar

doi:10.5815/ijmsc.2019.01.03

Cited by 68 publications

(37 citation statements)

References 44 publications

(42 reference statements)

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“…In order to enable technologies for fog computing in the education IoT system the most important part on which the developers need to keep focus is the fog architecture. The proposed one is a six layered architecture comprises of physical or virtual layer, monitoring layer, pre-processing layer, temporary data storage layer, security layer and transport layer [66,67]. In order to earn good academic records implementation of fog computing in education IoT system is very essential.…”

Section: Current Methodsmentioning

confidence: 99%

Utilizing technologies of fog computing in educational IoT systems: privacy, security, and agility perspective

Adel

2020

J Big Data

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Fog computing architecture is referred to the architecture that is distributed over the geographical area. This architectural arrangement mainly focuses on physical and logical network elements, and software for the purpose of implementing proper network. Fog computing architecture allows the users to have a flexible communication and also ensures that the storage services are maintained efficiently for the purpose of managing the data. However, it has been observed that in the field of education fog computing architecture has gained huge importance due to its real time application feature. The main objective of the survey is to develop a systematic literature review for the technology of fog computing in the education IoT system. The survey will also focus on evaluating the essential factors that has a crucial role in the fields of education as well as investigating the limitation and findings associated with the fog computing technologies in educational systems from the perspective of privacy, security, and agility.

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Section: Current Methodsmentioning

confidence: 99%

Utilizing technologies of fog computing in educational IoT systems: privacy, security, and agility perspective

Adel

2020

J Big Data

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“…Author Jaishree Jain and Ajit Singh states that fog computing should be more develop and it must include advanced features by its own for modern computing technology [5]. will be promising business model for any type of services providers [9].…”

Section: Literature Surveymentioning

confidence: 99%

Review and Analysis of Cloud and Fog Computing Platforms

Suneetha¹,

Suresh²,

Majjigi³

et al. 2020

IRJASH

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As the call for data is rapidly increasing all over the globe it is necessary to deal with data safely to deal with data, we need some services like cloud and fog computing. Cloud computing and fog computing are the computing platforms which provide firm to run the communication without any kind of disturbance. This paper gives overview of cloud computing and fog computing. The survey of this paper focuses on cloud and fog computing and comparison of those both computing platforms. As we can easily analysis the best computing platform. As fog computing is the extended part of cloud computing that is it is add-on for the cloud computing platform. Cloud functions over internet it has many chances of collapsing while fog is more secure when compared to cloud as it has different protocols and standards in it and this fog have less chances of collapsing. Here fog computing security is higher when compared to cloud computing. This paper gives the review and analysis on fog and could computing.

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“…Cloud computing offers three primary types of service models namely Software-as-a-Service (SaaS), Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) [3]. Cloud computing can be implemented as a layered architecture and comes in four main development models namely public, private, community, and hybrid clouds [4].…”

Section: Introductionmentioning

confidence: 99%

Task scheduling in cloud computing based on metaheuristic techniques: A review paper

Al-Arasi¹,

Saif²

2020

EAI Endorsed Transactions on Cloud Systems

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Cloud computing delivers computing resources like software and hardware as a service to the users through a network. Due to the scale of the modern datacentres and their dynamic resources provisioning nature, we need efficient scheduling techniques to manage these resources. The main objective of scheduling is to assign tasks to adequate resources in order to achieve one or more optimization criteria. Scheduling is a challenging issue in the cloud environment, therefore many researchers have attempted to explore an optimal solution for task scheduling in the cloud environment. They have shown that traditional scheduling is not efficient in solving this problem and produce an optimal solution with polynomial time in the cloud environment. However, they introduced sub-optimal solutions within a short period of time. Meta-heuristic techniques have provided near-optimal or optimal solutions within an acceptable time for such problems. In this work, we have introduced the major concepts of resource scheduling and provided a comparative analysis of many task scheduling techniques based on different optimization criteria.

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Comparison of Fog Computing & Cloud Computing

Cited by 68 publications

References 44 publications

Utilizing technologies of fog computing in educational IoT systems: privacy, security, and agility perspective

Utilizing technologies of fog computing in educational IoT systems: privacy, security, and agility perspective

Review and Analysis of Cloud and Fog Computing Platforms

Task scheduling in cloud computing based on metaheuristic techniques: A review paper

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