scholarly journals A Study of Moving from Cloud Computing to Fog Computing

2021 ◽  
Vol 1 (2) ◽  
pp. 60-70
Author(s):  
Hindreen Rashid Abdulqadir ◽  
Subhi R. M. Zeebaree ◽  
Hanan M. Shukur ◽  
Mohammed Mohammed Sadeeq ◽  
Baraa Wasfi Salim ◽  
...  

The exponential growth of the Internet of Things (IoT) technology poses various challenges to the classic centralized cloud computing paradigm, including high latency, limited capacity, and network failure. Cloud computing and Fog computing carry the cloud closer to IoT computers in order to overcome these problems. Cloud and Fog provide IoT processing and storage of IoT items locally instead of sending them to the cloud. Cloud and Fog provide quicker reactions and better efficiency in conjunction with the cloud. Cloud and fog computing should also be viewed as the safest approach to ensure that IoT delivers reliable and stable resources to multiple IoT customers. This article discusses the latest in cloud and Fog computing and their convergence with IoT by stressing deployment's advantages and complexities. It also concentrates on cloud and Fog design and new IoT technologies, enhanced by utilizing the cloud and Fog model. Finally, transparent topics are addressed, along with potential testing recommendations for cloud storage and Fog computing, and IoT.

Fog Computing ◽  
2018 ◽  
pp. 198-207 ◽  
Author(s):  
Chintan M. Bhatt ◽  
C. K. Bhensdadia

The Internet of Things could be a recent computing paradigm, defined by networks of extremely connected things – sensors, actuators and good objects – communication across networks of homes, buildings, vehicles, and even individuals whereas cloud computing could be ready to keep up with current processing and machine demands. Fog computing provides architectural resolution to deal with some of these issues by providing a layer of intermediate nodes what's referred to as an edge network [26]. These edge nodes provide interoperability, real-time interaction, and if necessary, computational to the Cloud. This paper tries to analyse different fog computing functionalities, tools and technologies and research issues.


Author(s):  
Ranjitha G. ◽  
Pankaj Lathar ◽  
G. M. Siddesh

Fog computing enhances cloud computing to be closer to the processes that act on IOT devices. Fogging was introduced to overcome the cloud computing paradigm which was not able to address some services, applications, and other limitations of cloud computing such as security aspects, bandwidth, and latency. Fog computing provides the direct correlation with the internet of things. IBM and CISCO are linking their concepts of internet of things with the help of fog computing. Application services are hosted on the network edge. It improves the efficiency and reduces the amount of data that is transferred to the cloud for analysis, storage, and processing. Developers write the fog application and deploy it to the access points. Several applications like smart cities, healthcare domain, pre-processing, and caching applications have to be deployed and managed properly.


2017 ◽  
Vol 9 (4) ◽  
pp. 105-113 ◽  
Author(s):  
Chintan Bhatt ◽  
C. K. Bhensdadia

The Internet of Things could be a recent computing paradigm, defined by networks of extremely connected things – sensors, actuators and good objects – communication across networks of homes, buildings, vehicles, and even individuals whereas cloud computing could be ready to keep up with current processing and machine demands. Fog computing provides architectural resolution to deal with some of these issues by providing a layer of intermediate nodes what's referred to as an edge network [26]. These edge nodes provide interoperability, real-time interaction, and if necessary, computational to the Cloud. This paper tries to analyse different fog computing functionalities, tools and technologies and research issues.


2020 ◽  
Author(s):  
Tanweer Alam

<p>The fog computing is the emerging technology to compute, store, control and connecting smart devices with each other using cloud computing. The Internet of Things (IoT) is an architecture of uniquely identified interrelated physical things, these physical things are able to communicate with each other and can transmit and receive information. <a>This research presents a framework of the combination of the Internet of Things (IoT) and Fog computing. The blockchain is also the emerging technology that provides a hyper, distributed, public, authentic ledger to record the transactions. Blockchains technology is a secured technology that can be a boon for the next generation computing. The combination of fog, blockchains, and IoT creates a new opportunity in this area. In this research, the author presents a middleware framework based on the blockchain, fog, and IoT. The framework is implemented and tested. The results are found positive. </a></p>


Author(s):  
Meltem Mutluturk ◽  
Burcu Kor ◽  
Bilgin Metin

The development of information and communication technologies (ICT) has led to many innovative technologies. The integration of technologies such as the internet of things (IoT), cloud computing, and machine learning concepts have given rise to Industry 4.0. Fog and edge computing have stepped in to fill the areas where cloud computing is inadequate to ensure these systems work quickly and efficiently. The number of connected devices has brought about cybersecurity issues. This study reviewed the current literature regarding edge/fog-based cybersecurity in IoT to display the current state.


Author(s):  
Yong Wang ◽  
Xiaoling Tao ◽  
Feng Zhao ◽  
Bo Tian ◽  
Akshita Maradapu Vera Venkata Sai

AbstractCloud computing is a novel computing paradigm, which connects plenty of computing resources and storage resources via Internet. Cloud computing provides a number of high-quality services, such as cloud storage, outsourcing computing, and on-demand self-service, which have been widely accepted by the public. In cloud computing, by submitting their tasks to cloud, plenty of applications share huge computation and storage resources. However, how to schedule resource efficiently is a big challenge in cloud computing.In this paper, we propose a SLA-aware resource algorithm to enable cloud storage more efficiently. In our scheme, we take advantage of the back-end node space utilization and I/O throughput comprehensively simultaneously. We compare and contrast the existing scheduling storage policies by implementing those algorithms. The extensive tests show that our algorithm achieves a considerable improvement in terms of violation rate and the number of used hosts.


2020 ◽  
Vol 45 (3) ◽  
pp. 44-52
Author(s):  
Dušan Marković ◽  
Ranko Koprivica ◽  
Biljana Veljković ◽  
Dejan Vujičić ◽  
Uroš Pešović ◽  
...  

The paper analyzes the geometric characteristics of seeds, uniformity and cross - sectional area of rapeseed, on the basis of which the equivalent diameter was calculated. Knowing the dimensions of seeds is important in seed production from sowing, harvesting, processing, and storage, to seed packaging. Manual determination of the dimensions of seeds is a rather slow process, so the aim of this work was to show a computer-aided device that contains a camera and can take seed samples, while determining the dimensions of seeds by program image analysis. Presented device is realized in accordance with the concept of the Internet of Things (IoT) so it has the ability to connect to the Internet and forward the image, or in another variant can directly perform the image analysis and further forward the results only. The purpose of the presented system for determining the size of seeds is providing a fast and efficient way for users to get the first results that will help them in the implementation of further activities related to working with small seeds.


2019 ◽  
Vol 9 (23) ◽  
pp. 5159 ◽  
Author(s):  
Shichang Xuan ◽  
Yibo Zhang ◽  
Hao Tang ◽  
Ilyong Chung ◽  
Wei Wang ◽  
...  

With the arrival of the Internet of Things (IoT) era and the rise of Big Data, cloud computing, and similar technologies, data resources are becoming increasingly valuable. Organizations and users can perform all kinds of processing and analysis on the basis of massive IoT data, thus adding to their value. However, this is based on data-sharing transactions, and most existing work focuses on one aspect of data transactions, such as convenience, privacy protection, and auditing. In this paper, a data-sharing-transaction application based on blockchain technology is proposed, which comprehensively considers various types of performance, provides an efficient consistency mechanism, improves transaction verification, realizes high-performance concurrency, and has tamperproof functions. Experiments were designed to analyze the functions and storage of the proposed system.


2019 ◽  
pp. 1018-1049
Author(s):  
Marcus Tanque ◽  
Harry J. Foxwell

This chapter examines and explains cyber resilience, internet of things, software-defined networking, fog computing, cloud computing, and related areas. Organizations develop these technologies in tandem with cyber resilience best practices, such as processes and standards. Cyber resilience is at the intersection of cyber security and business resilience. Its core capabilities encompass integrated strategic policies, processes, architectures, and frameworks. Governments and industries often align defensive and resilient capabilities, to address security and network vulnerability breaches through strategic management processes.


2019 ◽  
Vol 11 (11) ◽  
pp. 222 ◽  
Author(s):  
Marica Amadeo ◽  
Giuseppe Ruggeri ◽  
Claudia Campolo ◽  
Antonella Molinaro ◽  
Valeria Loscrí ◽  
...  

By offering low-latency and context-aware services, fog computing will have a peculiar role in the deployment of Internet of Things (IoT) applications for smart environments. Unlike the conventional remote cloud, for which consolidated architectures and deployment options exist, many design and implementation aspects remain open when considering the latest fog computing paradigm. In this paper, we focus on the problems of dynamically discovering the processing and storage resources distributed among fog nodes and, accordingly, orchestrating them for the provisioning of IoT services for smart environments. In particular, we show how these functionalities can be effectively supported by the revolutionary Named Data Networking (NDN) paradigm. Originally conceived to support named content delivery, NDN can be extended to request and provide named computation services, with NDN nodes acting as both content routers and in-network service executors. To substantiate our analysis, we present an NDN fog computing framework with focus on a smart campus scenario, where the execution of IoT services is dynamically orchestrated and performed by NDN nodes in a distributed fashion. A simulation campaign in ndnSIM, the reference network simulator of the NDN research community, is also presented to assess the performance of our proposal against state-of-the-art solutions. Results confirm the superiority of the proposal in terms of service provisioning time, paid at the expenses of a slightly higher amount of traffic exchanged among fog nodes.


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