scholarly journals Fog Computing in the context of Smart Home, voice assistant and the future of IoT

2020 ◽  
Vol 21 (1) ◽  
pp. 6-12
Author(s):  
Javier Pinzón Castellanos ◽  
Miguel Antonio Cadena Carter
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
Data Transmission ◽  
Smart Home ◽  
Fog Computing ◽  
Relevant Information ◽  
Raspberry Pi ◽  
Thermal Sensors ◽  
Computing Architecture ◽  
The Future

Fog Computing is the distributed computing layer that lies between the user and the cloud. A successful fog architecture reduces delay or latency and increases efficiency. This paper describes the development and implementation of a distributed computing architecture applied to an automation environment that uses Fog Computing as an intermediary with the cloud computing layer. This study used a Raspberry Pi V3 board connected to end control elements such as servomotors and relays, indicators and thermal sensors. All is controlled by an automation framework that receives orders from Siri and executes them through predetermined instructions. The cloud connection benefits from a reduced amount of data transmission, because it only receives relevant information for analysis.

scholarly journals A brief exploration of fog computing architecture, technologies and challenges

2018 ◽  
Vol 7 (2.7) ◽  
pp. 96
Author(s):  
Ramaiah Challa ◽  
K Kiran Kumar
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
Data Transfer ◽  
Fog Computing ◽  
Cloud Services ◽  
Rapid Rate ◽  
Computing Architecture ◽  
Efficient Approach ◽  
System Data ◽  
And Storage

Now a day’s IoT systems are being used in rapid rate, so much data is being generated by  massive ubiquitous things handling of that much data is not a simple issue it very critical task. Then again, despite the fact that that distributed computing has filled in as an efficient approach to process and store these information, in any case, challenges, for example, the expanding requests of ongoing or dormancy delicate applications and the impediment of system data transfer capacity, still can't be tackled by utilizing just cloud computing. Accordingly, another computing known as fog computing was proposed as extension of cloud computing. It brings the cloud services that are communication, computation and storage near to edge devices and users so latency can be reduced. In this papers details of fog computing are discussed.

A Complementary Approach to Grid and Cloud Distributed Computing Paradigms

2012 ◽  
pp. 1929-1942
Author(s):  
Mehdi Sheikhalishahi ◽  
Manoj Devare ◽  
Lucio Grandinetti ◽  
Maria Carmen Incutti
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
Grid Architecture ◽  
Computing Model ◽  
Complementary Approach ◽  
The Future ◽  
Original Grid ◽  
Computing Models

Cloud computing is a new kind of computing model and technology introduced by industry leaders in recent years. Nowadays, it is the center of attention because of various excellent promises. However, it brings some challenges and arguments among computing leaders about the future of computing models and infrastructure. For example, whether it is going to be in place of other technologies in computing like grid or not, is an interesting question. In this chapter, we address this issue by considering the original grid architecture. We show how cloud can be put in the grid architecture to complement it. As a result, we face some shadow challenges to be addressed.

Novel Taxonomy to Select Fog Products and Challenges Faced in Fog Environments

2021 ◽  
pp. 2558-2571
Author(s):  
Akashdeep Bhardwaj
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
High Speed ◽  
Low Cost ◽  
Fog Computing ◽  
Research Work ◽  
Cloud Services ◽  
Smart Devices ◽  
Viable Solution ◽  
Last Mile

This article describes how the rise of fog computing to improve cloud computing performance and the acceptance of smart devices is slowly but surely changing our future and shaping the computing environment around us. IoT integrated with advances in low cost computing, storage and power, along with high speed networks and big data, supports distributed computing. However, much like cloud computing, which are under constant security attacks and issues, distributed computing also faces similar challenges and security threats. This can be mitigated to a great extent using fog computing, which extends the limits of Cloud services to the last mile edge near to the nodes and networks, thereby increasing the performance and security levels. Fog computing also helps increase the reach and comes across as a viable solution for distributed computing. This article presents a review of the academic literature research work on the Fog Computing. The authors discuss the challenges in Fog environment and propose a new taxonomy.

scholarly journals Advanced Technique for Efficiently and Securely Accessing data in the Fog and Cloud Network

2021 ◽  
pp. 573-578
Author(s):  
Dhanashri M. Kale ◽  
Dr. Vilas M. Thakare
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Fog Computing ◽  
Future Research ◽  
Advanced Technique ◽  
Computing Architecture ◽  
Use Of Technology ◽  
Radio Access ◽  
Architecture Evaluation ◽  
Cloud Network

With the increased use of technology , the fog computing network is being used on a large scale The integration of fog computing into cloud computing network is full of advantages and increases features. The network currently is secured but also subjected to various challenges. In this paper, we have reviewed five different schemes which are : Architecture Harmonization Between Cloud Radio Access Networks and Fog Networks, Fog Computing Architecture, Evaluation, and Future Research Directions, Indie Fog: An Efficient Fog-Computing Infrastructure for the Internet of Things, A Framework of Fog Computing: Architecture, Challenges, and Optimization, A Critical Analysis on Integration of Fog Computing and Cloud Computing. These schemes discussed here provide certain features but there are some limitations in it. So we propose a new scheme that helps to overcome the challenges of these previous schemes.

scholarly journals Fog Computıng – A Rasperry Pı Decentralızed Network

2020 ◽  
Vol 02 (01) ◽  
pp. 27-42
Author(s):  
Dr. Bhalaji N. ◽  
Shanmuga Skandh Vinayak E
Keyword(s):  
Cloud Computing ◽  
Parallel Processing ◽  
Fog Computing ◽  
Optimal Solution ◽  
Raspberry Pi ◽  
Blockchain Technology ◽  
Remote Computation ◽  
Distributed Files

Ever since the concept of parallel processing and remote computation became feasible, Cloud computing is at its highest peak in its popularity. Although cloud computing is effective and feasible in its usage, using the cloud for frequent operations may not be the be the most optimal solution. Hence the concept of FOG proves to be more optimal and efficient. In this paper, we propose a solution by improving the FOG computing concept of decentralization by implementing a secure distributed files system utilizing the IPFS and the Ethereum Blockchain technology. Our proposed system has proved to be efficient by successfully distributing the data in a Raspberry Pi network. The outcome of this work will assist FOG architects in implementing this system in their infrastructure and also prove to be effective for IoT developers in implementing a Raspberry Pi decentralized network while providing more security to the data.

scholarly journals A Novel Fog-IoT based Framework for Improving Performance of Cloud Computing

2019 ◽  
Vol 8 (12S) ◽  
pp. 889-895
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Secure Communication ◽  
Fog Computing ◽  
Cloud Service ◽  
Raspberry Pi ◽  
New Paradigm ◽  
Privacy And Security ◽  
Security Issues ◽  
Iot Devices

Internet-of-Things (IoT) has been considered as a fundamental part of our day by day existence with billions of IoT devices gathering information remotely and can interoperate within the current Internet framework. Fog computing is nothing but cloud computing to the extreme of network security. It provides computation and storage services via CSP (Cloud Service Provider) to end devices in the Internet of Things (IoT). Fog computing allows the data storing and processing any nearby network devices or nearby cloud endpoint continuum. Using fog computing, the designer can reduce the computation architecture of the IoT devices. Unfortunitily, this new paradigm IoT-Fog faces numerous new privacy and security issues, like authentication and authorization, secure communication, information confidentiality. Despite the fact that the customary cloud-based platform can even utilize heavyweight cryptosystem to upgrade security, it can't be performed on fog devices drectly due to reseource constraints. Additionally, a huge number of smart fog devices are fiercely disseminated and situated in various zones, which expands the danger of being undermined by some pernicious gatherings. Trait Based Encryption (ABE) is an open key encryption conspire that enables clients to scramble and unscramble messages dependent on client qualities, which ensures information classification and hearty information get to control. Be that as it may, its computational expense for encryption and unscrambling stage is straightforwardly corresponding to the multifaceted nature of the arrangements utilized. The points is to assess the planning, CPU burden, and memory burden, and system estimations all through each phase of the cloud-to-things continuum amid an analysis for deciding highlights from a finger tapping exercise for Parkinson's Disease patients. It will be appeared there are confinements to the proposed testbeds when endeavoring to deal with upwards of 35 customers at the same time. These discoveries lead us to a proper conveyance of handling the leaves the Intel NUC as the most suitable fog gadget. While the Intel Edison and Raspberry Pi locate a superior balance at in the edge layer, crossing over correspondence conventions and keeping up a self-mending network topology for "thing" devices in the individual territory organize.

scholarly journals Research on Internet of Things security architecture based on fog computing

2019 ◽  
Vol 15 (11) ◽  
pp. 155014771988816 ◽  
Author(s):  
Trung Dong Mai
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Data Transmission ◽  
Fog Computing ◽  
Security Architecture ◽  
Time Data ◽  
Local Data ◽  
Computing Device ◽  
Network Bandwidth ◽  
Processing Power

The traditional data processing of the Internet of Things is concentrated in cloud computing, and its huge number of devices and massive real-time data transmission are extremely stressful on network bandwidth and cloud computing data centers. Fog computing is the infrastructure that can use processing power anywhere in the cloud. Virtual computing extends the power of cloud computing to the edge of the network, enabling any computing device to host and process software services, analyzing and storing data closer to where data are generated. The architecture of the fog computing brings enormous processing power. Since its processing power is often located near the required equipment, the distance of data transmission is reduced and the delay is reduced. This article explores how to use the fog computing layer between the cloud data center and the end node layer to store and process large amounts of local data in a timely manner, speeding decision making and enabling Internet of Things manufacturers and software developers to limit their ability to send data. They reduced cloud computing costs and built a reasonable security architecture.

Fog Computing Architecture for Indoor Disaster Management

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Asep Id Hadiana ◽  
Keyword(s):  
Cloud Computing ◽  
Disaster Management ◽  
Network Traffic ◽  
Fog Computing ◽  
Building Structures ◽  
Quick Response ◽  
Computing Architecture ◽  
Iot Applications ◽  
Management Architecture

Most people spend their time indoors. Indoors have a higher complexity than outdoors. Moreover, today's building structures are increasingly sophisticated and complex, which can create problems when a disaster occurs in the room. Fire is one of the disasters that often occurs in a building. For that, we need disaster management that can minimize the risk of casualties. Disaster management with cloud computing has been extensively investigated in other studies. Traditional ways of centralizing data in the cloud are almost scalable as they cannot cater to many latency-critical IoT applications, and this results in too high network traffic when the number of objects and services increased. It will be especially problematic when in a disaster that requires a quick response. The Fog infrastructure is the beginning of the answer to such problems. This research started with an analysis of literature and hot topics related to fog computing and indoor disasters, which later became the basis for creating a fog computing-based architecture for indoor disasters. In this research, fog computing is used as the backbone in disaster management architecture in buildings. MQTT is used as a messaging protocol with the advantages of simplicity and speed. This research proposes a disaster architecture for indoor disasters, mainly fire disasters

Novel Taxonomy to Select Fog Products and Challenges Faced in Fog Environments

2018 ◽  
Vol 1 (1) ◽  
pp. 35-49 ◽  
Author(s):  
Akashdeep Bhardwaj
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
High Speed ◽  
Low Cost ◽  
Fog Computing ◽  
Research Work ◽  
Cloud Services ◽  
Smart Devices ◽  
Viable Solution ◽  
Last Mile

This article describes how the rise of fog computing to improve cloud computing performance and the acceptance of smart devices is slowly but surely changing our future and shaping the computing environment around us. IoT integrated with advances in low cost computing, storage and power, along with high speed networks and big data, supports distributed computing. However, much like cloud computing, which are under constant security attacks and issues, distributed computing also faces similar challenges and security threats. This can be mitigated to a great extent using fog computing, which extends the limits of Cloud services to the last mile edge near to the nodes and networks, thereby increasing the performance and security levels. Fog computing also helps increase the reach and comes across as a viable solution for distributed computing. This article presents a review of the academic literature research work on the Fog Computing. The authors discuss the challenges in Fog environment and propose a new taxonomy.

scholarly journals Analysis of an Automatic Early Warning System Based on Fog Architecture

2021 ◽  
Vol 2095 (1) ◽  
pp. 012046
Author(s):  
Gang Shi ◽  
Yuechen Yang
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Early Warning ◽  
Early Warning System ◽  
Fog Computing ◽  
Warning System ◽  
Response Speed ◽  
Computing Architecture ◽  
Computing Services ◽  
Front End

Abstract In the process of analysing and processing terminal sensor information, a large number of terminal sensors are needed to collect front-end information. These front-end data collection, analysis and processing require high real-time, and need the support of location aware mobile computing services. Traditional cloud computing architecture is not the best choice for service scenarios with high real-time requirements. The fog computing architecture is to extend cloud computing services to the edge of the sensor network, coupled with appropriate fitness algorithms, can effectively improve the information analysis and early warning response speed of the geological disaster information early warning system.

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