scholarly journals Fog Computing Based on Machine Learning: A Review

2021 ◽  
Vol 15 (12) ◽  
pp. 21
Author(s):  
Fady Esmat Fathel Samann ◽  
Adnan Mohsin Abdulazeez ◽  
Shavan Askar
Keyword(s):  
Machine Learning ◽  
Large Scale ◽  
Fog Computing ◽  
Vital Role ◽  
The Internet ◽  
Vehicular Communication ◽  
Security Issues ◽  
Performance Metric ◽  
Processing Power ◽  
And Storage

<p>Internet of Things (IoT) systems usually produce massive amounts of data, while the number of devices connected to the internet might reach billions by now. Sending all this data over the internet will overhead the cloud and consume bandwidth. Fog computing's (FC) promising technology can solve the issue of computing and networking bottlenecks in large-scale IoT applications. This technology complements the cloud computing by providing processing power and storage to the edge of the network. However, it still suffers from performance and security issues. Thus, machine learning (ML) attracts attention for enabling FC to settle its issues. Lately, there has been a growing trend in utilizing ML to improve FC applications, like resource management, security, lessen latency and power usage. Also, intelligent FC was studied to address issues in industry 4.0, bioinformatics, blockchain and vehicular communication system. Due to the ML vital role in the FC paradigm, this work will shed light on recent studies utilized ML in a FC environment. Background knowledge about ML and FC also presented. This paper categorized the surveyed studies into three groups according to the aim of ML implementation. These studies were thoroughly reviewed and compared using sum-up tables. The results showed that not all studies used the same performance metric except those worked on security issues. In conclusion, the simulations of proposed ML models are not sufficient due to the heterogeneous nature of the FC paradigm.</p>

Using Machine Learning Methods to Solve Problems of Forecasting Demand for New Products in the Internet Marketplace

2020 ◽  
Vol 10 (4) ◽  
pp. 41-50
Author(s):  
A.A. Osin ◽  
A.K. Fomin ◽  
G.B. Sologub ◽  
V.I. Vinogradov
Keyword(s):  
Machine Learning ◽  
Comparative Analysis ◽  
New Products ◽  
The Internet ◽  
Specific Task ◽  
Learning Methods ◽  
Online Store ◽  
Machine Learning Methods ◽  
And Storage ◽  
Internet Marketplace

The work is aimed at researching the possibility of using machine learning methods to build models for forecasting demand for new products in the online store Ozon. ru. Approaches to the solution that were not previously used in a specific task are proposed for consideration. Data on sales history and storage of goods at Ozon.ru are used as a sample. There is a description and analysis of the approximate loss of the Ozon.ru website, the data used, the process of building a base model, and the results obtained. It describes the metrics used to evaluate the prediction results and makes a comparative analysis between the prediction results of the built model and the results of heuristically selected values.

Fog Computing and Virtualization

2018 ◽  
pp. 100-114
Author(s):  
Siddhartha Duggirala
Keyword(s):  
Cloud Computing ◽  
Mobile Phones ◽  
Fog Computing ◽  
Main Concern ◽  
Public Cloud ◽  
Local Systems ◽  
Processing Power ◽  
Quality And Reliability ◽  
And Storage ◽  
Virtual Services

The essence of Cloud computing is moving out the processing from the local systems to remote systems. Cloud is an umbrella of physical/virtual services/resources easily accessible over the internet. With more companies adopting cloud either fully through public cloud or Hybrid model, the challenges in maintaining a cloud capable infrastructure is also increasing. About 42% of CTOs say that security is their main concern for moving into cloud. Another problem which is mainly problem with infrastructure is the connectivity issue. The datacenter could be considered as the backbone of cloud computing architecture. As the processing power and storage capabilities of the end devices like mobile phones, routers, sensor hubs improve we can increasing leverage these resources to improve your quality and reliability of services.

Healthcare-Internet of Things and Its Components

2021 ◽  
pp. 258-277
Author(s):  
Aman Tyagi
Keyword(s):  
Internet Of Things ◽  
Fog Computing ◽  
Communication Technologies ◽  
The Internet ◽  
Healthcare Resources ◽  
Iot Security ◽  
Global Epidemic ◽  
Security Issues ◽  
Analyse Data ◽  
Iot Devices

Elderly population in the Asian countries is increasing at a very fast rate. Lack of healthcare resources and infrastructure in many countries makes the task of provding proper healthcare difficult. Internet of things (IoT) in healthcare can address the problem effectively. Patient care is possible at home using IoT devices. IoT devices are used to collect different types of data. Various algorithms may be used to analyse data. IoT devices are connected to the internet and all the data of the patients with various health reports are available online and hence security issues arise. IoT sensors, IoT communication technologies, IoT gadgets, components of IoT, IoT layers, cloud and fog computing, benefits of IoT, IoT-based algorithms, IoT security issues, and IoT challenges are discussed in the chapter. Nowadays global epidemic COVID19 has demolished the economy and health services of all the countries worldwide. Usefulness of IoT in COVID19-related issues is explained here.

Fog Computing and Virtualization

2018 ◽  
pp. 53-67
Author(s):  
Siddhartha Duggirala
Keyword(s):  
Cloud Computing ◽  
Fog Computing ◽  
Main Concern ◽  
Time Data ◽  
Human Machine Interaction ◽  
Processing Power ◽  
New Generation ◽  
And Storage ◽  
Virtual Services ◽  
Machine Interaction

The essence of cloud computing is moving out the processing from the local systems to remote systems. Cloud is an umbrella of physical/virtual services/resources easily accessible over the internet. With more companies adopting cloud either fully through public cloud or hybrid model, the challenges in maintaining a cloud capable infrastructure is also increasing. About 42% of CTOs say that security is their main concern for moving into cloud. Another problem, which is mainly problem with infrastructure, is the connectivity issue. The datacenter could be considered as the backbone of cloud computing architecture. Handling this new generation of requirements of volume, variety, and velocity in IoT data requires us to evaluate the tools and technologies. As the processing power and storage capabilities of the end devices like mobile phones, routers, sensor hubs improve, we can increase leverage these resources to improve your quality and reliability of services. Applications of fog computing is as diverse as IoT and cloud computing itself. What IoT and fog computing have in common is to monitor and analyse real-time data from network connected things and acting on them. Machine-to-machine coordination or human-machine interaction can be a part of this action. This chapter explores fog computing and virtualization.

Fog Computing and Virtualization

Fog Computing ◽  
2018 ◽  
pp. 208-219
Author(s):  
Siddhartha Duggirala
Keyword(s):  
Cloud Computing ◽  
Mobile Phones ◽  
Fog Computing ◽  
Main Concern ◽  
Public Cloud ◽  
Local Systems ◽  
Processing Power ◽  
Quality And Reliability ◽  
And Storage ◽  
Virtual Services

The essence of Cloud computing is moving out the processing from the local systems to remote systems. Cloud is an umbrella of physical/virtual services/resources easily accessible over the internet. With more companies adopting cloud either fully through public cloud or Hybrid model, the challenges in maintaining a cloud capable infrastructure is also increasing. About 42% of CTOs say that security is their main concern for moving into cloud. Another problem which is mainly problem with infrastructure is the connectivity issue. The datacenter could be considered as the backbone of cloud computing architecture. As the processing power and storage capabilities of the end devices like mobile phones, routers, sensor hubs improve we can increasing leverage these resources to improve your quality and reliability of services.

scholarly journals Analyzing and Comparing the Performance of National Biometric eID Card in Heavy Cryptographic Applications

2018 ◽  
Vol 1 (4) ◽  
pp. 37
Author(s):  
Gazmend Krasniqi ◽  
Petrit Rama ◽  
Blerim Rexha
Keyword(s):  
Secure Communication ◽  
Electronic Devices ◽  
Processing System ◽  
The Internet ◽  
End User ◽  
Processing Power ◽  
Identity Cards ◽  
Test Vectors ◽  
And Storage ◽  
User Device

Today, we are witnessing increased demand for more speed and capacity in the Internet, and more processing power and storage in every end user device. Demand for greater performance is present in every system. Electronic devices and their hosted applications need to be fast, but not to lose their main security features. Authentication and encryption are the main processes in the security aspect, and are required for a secure communication. These processes can be executed in different devices, among them PCs, microprocessors, microcontrollers, biometric cards or mobile devices. Biometric identity cards are becoming increasingly popular, challenging traditional PC devices. This paper compares two processing systems, the efficiency of encryption and signatures on the data executed in national identity biometric card versus PC, known also as the match-on-card versus the match-off-card. It considers how different parameters impact the process and the role they play on the overall process. The results, executed with a predefined set of test vectors, determine which processing system to use in a certain situation. Final conclusions and recommendations are given taking into consideration the efficiency and security of the data.

scholarly journals Fog Computing Architecture, Applications and Security Issues

2020 ◽  
Vol 3 (1) ◽  
pp. 75-105 ◽  
Author(s):  
Rahul Neware ◽  
Urmila Shrawankar
Keyword(s):  
Structural Design ◽  
Storage Capacity ◽  
Fog Computing ◽  
Open Architecture ◽  
Low Latency ◽  
Computing Architecture ◽  
Safety Concerns ◽  
Security Issues ◽  
The Many ◽  
And Storage

Fog computing spreads the cloud administrations and services to the edge of the system, and brings processing, communications and reserving, and storage capacity closer to edge gadgets and end-clients and, in the process, aims at enhancing versatility, low latency, transfer speed and safety and protection. This article takes an extensive and wide-ranging view of fog computing, covering several aspects. At the outset is the many-layered structural design of fog computing and its attributes. After that, chief advances like communication and inter-exchange, computing, etc. are delineated, while showing how these backup and facilitate the installations and various applications. Following that, it is shown that how, despite fog computing being a feature-rich platform, it is dogged by its susceptibility to several security, privacy, and safety concerns, which stem from the nature of its widely distributed and open architecture. Finally, some suggestions are advanced to address some of the safety challenges discussed so as to propel the further growth of fog computing.

scholarly journals IoT-Fog-Cloud system architecture for big data analysis and cybersecurity systems: a review of fog computing, the introduction to the Internet of Things audit

2020 ◽  
Author(s):  
D. R. Kolisnyk ◽  
◽  
K. S. Misevych ◽  
S. V. Kovalenko
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Internet Of Things ◽  
System Architecture ◽  
Fog Computing ◽  
Big Data Analysis ◽  
Future Research ◽  
The Internet ◽  
Security Issues ◽  
The Internet Of Things

The article considers the issues of system architecture IoT-Fog-Cloud, considers the interaction between the three levels of IoT, Fog and Cloud for the effective implementation of programs for big data analysis and cybersecurity. The article also discusses security issues, solutions and directions for future research in the field of the Internet of Things and nebulous computing.

scholarly journals Security Challenges and Countermeasures for the Heterogeneity of IoT Applications

2019 ◽  
Vol 1 (2) ◽  
pp. 16 ◽  
Author(s):  
Deepak Choudhary
Keyword(s):  
Internet Of Things ◽  
Large Scale ◽  
Physical World ◽  
The Internet ◽  
Smart Objects ◽  
Security Issues ◽  
Iot Applications ◽  
Security Challenges ◽  
The Internet Of Things

The Internet of Things (IoT) enables the integration of data from virtual and physical worlds. It involves smart objects that can understand and react to their environment in a variety of industrial, commercial and household settings. As the IoT expands the number of connected devices, there is the potential to allow cyber-attackers into the physical world in which we live, as they seize on security holes in these new systems. New security issues arise through the heterogeneity  of  IoT  applications and devices and their large-scale deployment.

Seoul and Tokyo will grow further apart

2018 ◽  
Keyword(s):  
South Korea ◽  
North Korea ◽  
Large Scale ◽  
Vital Role ◽  
Asia Pacific ◽  
Content Type ◽  
Psychological Issues ◽  
Security Issues ◽  
Will Force ◽  
Economic Ties

Subject Japan-South Korea relations. Significance Japan-South Korea relations have global significance. The two are East Asia’s largest and second-largest advanced economies and play a vital role in the economy of the Asia-Pacific region, including in the creation of large free trade areas. Their relationship also affects security issues related to North Korea. Impacts The shared threat from North Korea and the alliances both governments have with Washington will force a degree of cooperation. Intractable political and psychological issues related to history will impede cooperation indefinitely. Bilateral economic ties will remain large-scale and important for both sides, but gradually become less so.

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