Evolution of Fog Computing Applications, Opportunities, and Challenges

2021 ◽  
Vol 4 (1) ◽  
pp. 1-17
Author(s):  
Hewan Shrestha ◽  
Puviyarai T. ◽  
Sana Sodanapalli ◽  
Chandramohan Dhasarathan
Keyword(s):  
Cloud Computing ◽  
Fog Computing ◽  
Geographical Area ◽  
Low Latency ◽  
Vehicular Communications ◽  
Cloud Architecture ◽  
The World ◽  
Methods And Techniques ◽  
And Storage ◽  
Minimum Costs

The emerging trend of internet of things in recent times is a blessing for various industries in the world. With the increasing amount of data generated by these devices, it makes it difficult for proper data flow and computation over the regular cloud architecture. Fog computing is a great alternative for cloud computing as it supports computation in devices over a large distributed geographical area, which is a plus for fog computing. Having applications in various domains including healthcare, logistics, design, marketing, manufacturing, and many more, fog computing is a great boon for the future. Evolving fog computing in various domains with different methods and techniques has shaped a clear future for it. Applicability of fog computing in vehicular communications and storage-as-a-service has made the term more popular these days. It is a review of all the possible fog computing-enabled applications and their future scope. It also prepares a basis for further research into fog computing domain-enabled services with low latency and minimum costs.

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.

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.

A Hybrid Fog Architecture: Improving the Efficiency in IoT-based Smart Parking Systems

2019 ◽  
Vol 12 ◽  
Author(s):  
Bhawna Suri ◽  
Pijush Kanti Dutta Pramanik ◽  
Shweta Taneja
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Real World ◽  
Fog Computing ◽  
Shopping Malls ◽  
Communication Latency ◽  
Cloud Architecture ◽  
Smart Parking ◽  
Real Time Applications ◽  
Simulation Results

Background: The abundant use of personal vehicles has raised the challenge of parking the vehicle in a crowded place such as shopping malls. To help the driver with efficient and trouble-free parking, a smart and innovative parking assistance system is required. In addition to discussing the basics of smart parking, Internet of Things (IoT), Cloud computing, and Fog computing, this chapter proposes an IoT-based smart parking system for shopping malls. Methods: To process the IoT data, a hybrid Fog architecture is adopted, to reduce the latency, where the Fog nodes are connected across the hierarchy. The advantages of this auxiliary connection are discussed critically by comparing with other Fog architectures (hierarchical and P2P). An algorithm is defined to support the proposed architecture and is implemented on two real-world use-cases having requirements of identifying the nearest free car parking slot. The implementation is simulated for a single mall scenario as well as for a campus with multiple malls with parking areas spread across them. Results: The simulation results have proved that our proposed architecture shows lower latency as compared to the traditional smart parking systems that use Cloud architecture. Conclusion: The hybrid Fog architecture minimizes communication latency significantly. Hence, the proposed architecture can be suitably applied for other IoT-based real-time applications.

scholarly journals Reliablity in the Fog Computing

10.29007/nc47 ◽  
2018 ◽  
Author(s):  
Manu Sharma
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Fog Computing ◽  
Cloud Environment ◽  
End User ◽  
Computing Technology ◽  
Digital Innovation ◽  
Security Issues ◽  
Remote Server ◽  
The World

In the world of Digital Innovation “Cloud Computing” is not just a word or a technology but a paramount to the organizations now days. Because it is not easy to store, compute the data on an internet and central remote server to manage a huge bulk of data and information. It is well known that cloud computing provides data, storage of data, computation of data to the end user also by providing the services to the end users by the different applications. So, now the Fog Computing Is generally a concept to extend the cloud computing technology as it also does the same function which cloud computing functionality as well. It is not the replacement but the enhanced version of cloud which provides a security on the cloud environment by isolating user’s data which is saved on the Edge Devices. Fog Computing enables a user to save their data to nearby devices. In this paper the security issues also the technology which is used for security in this enhanced concept of cloud is mentioned.

Secure Architecture for Cloud Environment

2018 ◽  
pp. 910-925
Author(s):  
Kashif Munir ◽  
Sellapan Palaniappan
Keyword(s):  
Cloud Computing ◽  
Data Centers ◽  
End Users ◽  
Cloud Services ◽  
The Internet ◽  
Security Threats ◽  
Cloud Environment ◽  
Cloud Architecture ◽  
The World ◽  
Secure Architecture

Cloud computing is set of resources and services offered through the internet. Cloud services are delivered from data centers located throughout the world. Enterprises are rapidly adopting cloud services for their businesses, measures need to be developed so that organizations can be assured of security in their businesses and can choose a suitable vendor for their computing needs. In this chapter we identify the most vulnerable security threats/attacks in cloud computing, which will enable both end users and vendors to know about the key security threats associated with cloud computing and propose relevant solution directives to strengthen security in the cloud environment. This chapter also discusses secure cloud architecture for organizations to strengthen the security.

Analysis of Media Cloud Architecture and Security Technology

2014 ◽  
Vol 610 ◽  
pp. 707-711
Author(s):  
Chen Li ◽  
Zheng Tao Jiang ◽  
Xiao Li Huang
Keyword(s):  
Cloud Computing ◽  
Rapid Development ◽  
Security Model ◽  
Personal Privacy ◽  
Security Framework ◽  
Security Technology ◽  
Cloud Architecture ◽  
Framework Model ◽  
The World ◽  
Media Cloud

Cloud computing is an emerging technology, which has been the focus of the world since its birth. It is bound to bring tremendous and far-reaching changes to the field of information technology with its development. Because of its wide development space and huge appreciation potential, media cloud, as a branch of cloud computing, has become a research hotpot in recent years. It has achieved some preliminary results. As the rapid development and application of cloud computing becoming more in-depth, the disadvantages of cloud computing in security and personal privacy protection is much more obvious, which hinders the popularity and improvement of cloud computing. Those problems also exist in Media Cloud. This paper will analyze the characteristics of current media cloud and security problems based on the existing research at first. Then we propose a security framework model to solve this problem. At last, we will analyze the architecture of media cloud and try to investigate the security model for media cloud.

scholarly journals Fog Computing: Issues, Challenges and Future Directions

2017 ◽  
Vol 7 (6) ◽  
pp. 3669 ◽  
Author(s):  
Prakash P ◽  
Darshaun K. G. ◽  
Yaazhlene. P ◽  
Medidhi Venkata Ganesh ◽  
Vasudha B
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Fog Computing ◽  
Low Latency ◽  
Use Case ◽  
Future Directions ◽  
Computing Power ◽  
Geographically Dispersed ◽  
Real Time Application ◽  
The Ideal

In Cloud Computing, all the processing of the data collected by the node is done in the central server. This involves a lot of time as data has to be transferred from the node to central server before the processing of data can be done in the server. Also it is not practical to stream terabytes of data from the node to the cloud and back. To overcome these disadvantages, an extension of cloud computing, known as fog computing, is introduced. In this, the processing of data is done completely in the node if the data does not require higher computing power and is done partially if the data requires high computing power, after which the data is transferred to the central server for the remaining computations. This greatly reduces the time involved in the process and is more efficient as the central server is not overloaded. Fog is quite useful in geographically dispersed areas where connectivity can be irregular. The ideal use case requires intelligence near the edge where ultra-low latency is critical, and is promised by fog computing. The concepts of cloud computing and fog computing will be explored and their features will be contrasted to understand which is more efficient and better suited for real-time application.

scholarly journals A Review of Evolutionary Trends in Cloud Computing and Applications to the Healthcare Ecosystem

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Mbasa Joaquim Molo ◽  
Joke A. Badejo ◽  
Emmanuel Adetiba ◽  
Vingi Patrick Nzanzu ◽  
Etinosa Noma-Osaghae ◽  
...  
Keyword(s):  
Cloud Computing ◽  
New Technologies ◽  
Service Providers ◽  
Fog Computing ◽  
Cloud Service ◽  
The Internet ◽  
On Demand ◽  
Cloud Service Providers ◽  
Computational Resources ◽  
And Storage

Cloud computing is a technology that allows dynamic and flexible computing capability and storage through on-demand delivery and pay-as-you-go services over the Internet. This technology has brought significant advances in the Information Technology (IT) domain. In the last few years, the evolution of cloud computing has led to the development of new technologies such as cloud federation, edge computing, and fog computing. However, with the development of Internet of Things (IoT), several challenges have emerged with these new technologies. Therefore, this paper discusses each of the emerging cloud-based technologies, as well as their architectures, opportunities, and challenges. We present how cloud computing evolved from one paradigm to another through the interplay of benefits such as improvement in computational resources through the combination of the strengths of various Cloud Service Providers (CSPs), decrease in latency, improvement in bandwidth, and so on. Furthermore, the paper highlights the application of different cloud paradigms in the healthcare ecosystem.

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