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

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

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 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.

scholarly journals Strategies for Exploiting Independent Cloud Implementations of Biometric Experts in Multibiometric Scenarios

2014 ◽  
Vol 2014 ◽  
pp. 1-15 ◽  
Author(s):  
P. Peer ◽  
Ž. Emeršič ◽  
J. Bule ◽  
J. Žganec-Gros ◽  
V. Štruc
Keyword(s):  
Cloud Computing ◽  
Recognition Performance ◽  
Cloud Service ◽  
Cloud Services ◽  
Biometric Recognition ◽  
Software Developers ◽  
Processing Power ◽  
Performance Gains ◽  
New Generation ◽  
And Storage

Cloud computing represents one of the fastest growing areas of technology and offers a new computing model for various applications and services. This model is particularly interesting for the area of biometric recognition, where scalability, processing power, and storage requirements are becoming a bigger and bigger issue with each new generation of recognition technology. Next to the availability of computing resources, another important aspect of cloud computing with respect to biometrics is accessibility. Since biometric cloud services are easily accessible, it is possible to combine different existing implementations and design new multibiometric services that next to almost unlimited resources also offer superior recognition performance and, consequently, ensure improved security to its client applications. Unfortunately, the literature on the best strategies of how to combine existing implementations of cloud-based biometric experts into a multibiometric service is virtually nonexistent. In this paper, we try to close this gap and evaluate different strategies for combining existing biometric experts into a multibiometric cloud service. We analyze the (fusion) strategies from different perspectives such as performance gains, training complexity, or resource consumption and present results and findings important to software developers and other researchers working in the areas of biometrics and cloud computing. The analysis is conducted based on two biometric cloud services, which are also presented in the paper.

Transporting the Cloud

2014 ◽  
pp. 135-156
Author(s):  
Claudio Estevez
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Transport Layer ◽  
Mobile Cloud ◽  
Transport Protocols ◽  
End User ◽  
Advantages And Disadvantages ◽  
Processing Power ◽  
And Storage

Cloud computing is consistently proving to be the dominant architecture of the future, and mobile technology is the catalyst. By having the processing power and storage remotely accessible, the main focus of the terminal is now related to connectivity and user-interface. The success of cloud-based applications greatly depends on the throughput experienced by the end user, which is why transport protocols play a key role in mobile cloud computing. This chapter discusses the main issues encountered in cloud networks that affect connection-oriented transport protocols. These issues include, but are not limited to, large delay connections, bandwidth variations, power consumption, and high segment loss rates. To reduce these adverse effects, a set of proposed solutions are presented; furthermore, the advantages and disadvantages are discussed. Finally, suggestions are made for future mobile cloud computing transport-layer designs that address different aspects of the network, such as transparency, congestion-intensity estimation, and quality-of-service integration.

scholarly journals Fog Computing Resource Optimization: A Review on Current Scenarios and Resource Management

2019 ◽  
Vol 16 (2) ◽  
pp. 0419 ◽  
Author(s):  
Dar Et al.
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Fog Computing ◽  
Energy Resource ◽  
Optimization Methods ◽  
Resource Optimization ◽  
Data Generation ◽  
Computing Paradigm ◽  
Processing Power ◽  
Huge Data

            The unpredictable and huge data generation nowadays by smart computing devices like (Sensors, Actuators, Wi-Fi routers), to handle and maintain their computational processing power in real time environment by centralized cloud platform is difficult because of its limitations, issues and challenges, to overcome these, Cisco introduced the Fog computing paradigm as an alternative for cloud-based computing. This recent IT trend is taking the computing experience to the next level. It is an extended and advantageous extension of the centralized cloud computing technology. In this article, we tried to highlight the various issues that currently cloud computing is facing. Here in this research article, we present a comprehensive review of fog computing, differentiating it from cloud computing, also present various use-cases of fog computing in different domains, we came to conclude that Fog computing leads in an efficient energy resource management, leveraging the energy both in terms of consumption and cost scenarios. Further, we highlighted its key features, challenges and issues, resource optimization methods.

scholarly journals An ABAC Based Policy Definement for Enriching Access Control in Cloud

2019 ◽  
pp. 586-592
Author(s):  
Yagnik A. Rathod ◽  
Chetan B. Kotwal ◽  
Sohil D. Pandya
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Access Management ◽  
Web Based ◽  
Software Application ◽  
Access Control Policies ◽  
Processing Power ◽  
Amazon Web Services ◽  
Access Policies ◽  
And Storage

Cloud Computing becomes most preferable solution for satisfying the various requirements of organizations and institutions. Different types of clouds like IaaS, PaaS, SaaS makes cloud capable to fulfills the client's different kind of needs like computer processing power, storage spaces, databases, software, application, web based solutions. Cloud computing can also be useful and worthy in providing certain customized solutions to enhance the capability of legacy systems in terms of effectiveness, reliability and optimization by replication of environment up to satisfactory extent. To provide adequate security solutions for cloud is still a challenging task and access control mechanism is one of the domain which demands significant attention on the mission towards securing clouds. In this paper, our work primarily focus on defining ABAC components, mapping functions and access control policies composed by access rules. Amazon Web Services is one of the most prominent cloud providers. Identity and Access Management (IAM) and Amazon S3 are access management and storage facilities of AWS respectively. ABAC based access policies are attached with the user and storage components for authorization.

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.

scholarly journals A Novel Technique to Improve the Performance of fog Computing using fog Terminal Nodes

2019 ◽  
Vol 8 (12) ◽  
pp. 4010-4014
Keyword(s):  
Fog Computing ◽  
Cloud Services ◽  
Data Migration ◽  
Time Data ◽  
Cloud Data ◽  
Computing Platform ◽  
Processing Power ◽  
Generation Computing ◽  
Real Time Data Processing ◽  
Cloud Servers

Cloud computing is considered to be technological revolution in the past decade, due to its reliability and flexibility in enabling anything-as-a-service to the end users based on the key principle of utility computing. With the advent of IoT and Real-time data processing continuous usage of cloud services have incremented the dependency levels of Cloud Data Centres which in a while required high processing power as well as it will be hazardous to the environment. Addressing this problem several research studies have identified FoG Computing as a next generation computing platform that enhances the performance of the cloud servers by processing the data at the edge devices. This paper presents a novel fog computing framework that enhances the performance of the data migration reducing the effort on cloud servers.

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.

Sign in / Sign up

Export Citation Format

Share Document