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.

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.

Examining IoT's Applications Using Cloud Services

2018 ◽  
pp. 147-163 ◽  
Author(s):  
Saravanan K ◽  
P. Srinivasan
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Distributed Computing ◽  
Knowledge Sharing ◽  
Effective Communication ◽  
Cloud Services ◽  
On Demand ◽  
Computing Paradigm ◽  
Iot Devices ◽  
And Storage

Cloud IoT has evolved from the convergence of Cloud computing with Internet of Things (IoT). The networked devices in the IoT world grow exponentially in the distributed computing paradigm and thus require the power of the Cloud to access and share computing and storage for these devices. Cloud offers scalable on-demand services to the IoT devices for effective communication and knowledge sharing. It alleviates the computational load of IoT, which makes the devices smarter. This chapter explores the different IoT services offered by the Cloud as well as application domains that are benefited by the Cloud IoT. The challenges on offloading the IoT computation into the Cloud are also discussed.

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.

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 Vehicular Fog Computing: The Need for a New Paradigm and its Issues

2018 ◽  
Vol 7 (2.7) ◽  
pp. 606
Author(s):  
G Sri Gnana Deepika ◽  
P Sai Kiran
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Fog Computing ◽  
Cloud Services ◽  
New Paradigm ◽  
Smart Vehicles ◽  
Vehicular Cloud Computing ◽  
Security Challenges ◽  
And Storage

Smart vehicles participating in VANET have high computing capabilities which lead the demand to support more applications that give safety and effective measures to people. The vehicles in VANET are taking the help of cloud services for communication, computation and storage which benefits in economical way and we call that as vehicular cloud computing (VCC). Due to certain limitations in VCC and also demand for more quality of service applications in smart vehicles a new paradigm called vehicular fog computing (VFC) is proposed which helps to overcome limitations in VCC and provide more quality services to users participating in VANET. Some of the security challenges and possible attacks in VFC are also stated.  

Infrastructure as a Service

2015 ◽  
pp. 146-169
Author(s):  
Shamim Hossain
Keyword(s):  
Cloud Computing ◽  
Infrastructure As A Service ◽  
Computing Architecture ◽  
Storage Devices ◽  
Highly Efficient ◽  
Single Solution ◽  
And Storage

Infrastructure as a Service is the pillar on which a cloud computing architecture is built. With the advancement of technologies in communications, computing, and storage devices, IaaS has emerged as a highly efficient platform to construct SaaS and PaaS layer on top of it. IaaS solutions vary from an organization to another. One single solution does not fit all. This chapter looks at the general constituents of IaaS.

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.

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.

Cloud Computing Economics

2016 ◽  
pp. 88-111
Author(s):  
Stamatia Bibi ◽  
Dimitrios Katsaros ◽  
Panayiotis Bozanis
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Distributed Computing ◽  
Decision Problem ◽  
High Speed ◽  
Business Case ◽  
Cloud Services ◽  
It Systems ◽  
Basic Parameters ◽  
User Demand

Cloud services and technologies are currently receiving increased attention from the industry mostly due to business-driven promises and expectations. Significant innovations in virtualization and distributed computing, as well as improved access to high-speed Internet and a weak economy, have accelerated interest in cloud computing. However, is the migration to the Cloud the most profitable option for every business? Enterprise adoption of cloud computing often requires a significant transformation of existing Information Technology (IT) systems and processes. To justify such a change, a viable business case must be made based on the economics of transformation. This chapter presents a study of the basic parameters for estimating the potential infrastructure and software costs deriving from building and deploying applications on cloud and on-premise assets. Estimated user demand and desired quality attributes related to an application are also addressed in this chapter as they are aspects of the decision problem that also influence the choice between cloud and in-house solutions.

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