A Conceptual Model for Cloud-Based E-Training in Nursing Education

2019 ◽  
pp. 295-310
Author(s):  
Halima E. Samra ◽  
Alice S. Li ◽  
Ben Soh ◽  
Mohammed A. AlZain
Keyword(s):  
Cloud Computing ◽  
Nursing Education ◽  
Training System ◽  
Cloud Services ◽  
Distributed Services ◽  
Intensive Training ◽  
On Demand ◽  
System Requirements ◽  
Training Resources ◽  
Training Services

In specific fields, such as e-training in nursing, involving computer-intensive training scenarios, there is an increased demand to deliver training services to a larger number of learners, and with it, the need for cloud services. However, to date there has been a lack of a formalized framework relating to the use of cloud computing for on-demand interactive e-training resources in nursing education. To this end, this chapter formalizes a conceptual framework for a cloud-based e-training system in nursing education. The conceptualization takes into consideration nursing e-training system requirements, with a focus on applying cloud computing technologies to ensure the dynamic scalability of virtual distributed services and computing power while maintaining QoS and security.

A Conceptual Model for Cloud-Based E-Training in Nursing Education

2021 ◽  
pp. 551-566
Author(s):  
Halima E. Samra ◽  
Alice S. Li ◽  
Ben Soh ◽  
Mohammed A. AlZain
Keyword(s):  
Cloud Computing ◽  
Nursing Education ◽  
Training System ◽  
Cloud Services ◽  
Distributed Services ◽  
Intensive Training ◽  
On Demand ◽  
System Requirements ◽  
Training Resources ◽  
Training Services

In specific fields, such as e-training in nursing, involving computer-intensive training scenarios, there is an increased demand to deliver training services to a larger number of learners, and with it, the need for cloud services. However, to date there has been a lack of a formalized framework relating to the use of cloud computing for on-demand interactive e-training resources in nursing education. To this end, this chapter formalizes a conceptual framework for a cloud-based e-training system in nursing education. The conceptualization takes into consideration nursing e-training system requirements, with a focus on applying cloud computing technologies to ensure the dynamic scalability of virtual distributed services and computing power while maintaining QoS and security.

A Conceptual Model for Cloud-Based E-Training in Nursing Education

2021 ◽  
pp. 85-100
Author(s):  
Halima E. Samra ◽  
Alice S. Li ◽  
Ben Soh ◽  
Mohammed A. AlZain
Keyword(s):  
Cloud Computing ◽  
Nursing Education ◽  
Training System ◽  
Cloud Services ◽  
Distributed Services ◽  
Intensive Training ◽  
On Demand ◽  
System Requirements ◽  
Training Resources ◽  
Training Services

In specific fields, such as e-training in nursing, involving computer-intensive training scenarios, there is an increased demand to deliver training services to a larger number of learners, and with it, the need for cloud services. However, to date there has been a lack of a formalized framework relating to the use of cloud computing for on-demand interactive e-training resources in nursing education. To this end, this chapter formalizes a conceptual framework for a cloud-based e-training system in nursing education. The conceptualization takes into consideration nursing e-training system requirements, with a focus on applying cloud computing technologies to ensure the dynamic scalability of virtual distributed services and computing power while maintaining QoS and security.

A Cloud-Based Architecture for Interactive E-Training

2019 ◽  
pp. 1379-1392 ◽  
Author(s):  
Halima E. Samra ◽  
Alice S. Li ◽  
Ben Soh ◽  
Mohammed A. AlZain
Keyword(s):  
Positive Impact ◽  
Clinical Skills ◽  
Skills Training ◽  
Training System ◽  
Cloud Services ◽  
Technology Enhanced Learning ◽  
Clinical Skills Training ◽  
Intensive Training ◽  
Training Resources ◽  
Cloud Technologies

Cloud-based technologies play a significant role in the technology-enhanced learning domain. The adoption of cloud technologies in the educational environment has a positive impact on the learning process by offering new tools and services to improve and support the learning life cycle, including interactivity. In specific fields, such as clinical skills training, that involve computer-intensive training scenarios, there is an increased demand to deliver training services to a larger number of learners, therefore the need for cloud services. However, to date there has been a lack of a formalized framework relating to the use of cloud computing for on-demand interactive e-training resources. This paper is to formalize a theoretical framework for an interactive e-training system particularly for clinical skills training, taking into consideration e-training system requirements and with a focus on applying cloud technologies to ensure the dynamic scalability of services and computing power while maintaining QoS and security

A Cloud-Based Architecture for Interactive E-Training

2017 ◽  
Vol 8 (1) ◽  
pp. 67-78 ◽  
Author(s):  
Halima E. Samra ◽  
Alice S. Li ◽  
Ben Soh ◽  
Mohammed A. AlZain
Keyword(s):  
Positive Impact ◽  
Clinical Skills ◽  
Skills Training ◽  
Training System ◽  
Cloud Services ◽  
Technology Enhanced Learning ◽  
Clinical Skills Training ◽  
Intensive Training ◽  
Training Resources ◽  
Cloud Technologies

Cloud-based technologies play a significant role in the technology-enhanced learning domain. The adoption of cloud technologies in the educational environment has a positive impact on the learning process by offering new tools and services to improve and support the learning life cycle, including interactivity. In specific fields, such as clinical skills training, that involve computer-intensive training scenarios, there is an increased demand to deliver training services to a larger number of learners, therefore the need for cloud services. However, to date there has been a lack of a formalized framework relating to the use of cloud computing for on-demand interactive e-training resources. This paper is to formalize a theoretical framework for an interactive e-training system particularly for clinical skills training, taking into consideration e-training system requirements and with a focus on applying cloud technologies to ensure the dynamic scalability of services and computing power while maintaining QoS and security

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.

Cloud Computing for On-Demand Virtual Desktops and Labs

2012 ◽  
pp. 111-125
Author(s):  
Christoph Reich ◽  
Sandra Hübner ◽  
Hendrik Kuijs
Keyword(s):  
Cloud Computing ◽  
Learning Experience ◽  
Cloud Services ◽  
The Internet ◽  
It Infrastructure ◽  
On Demand ◽  
E Learning ◽  
Collaboration Platforms ◽  
Computer Resources ◽  
Support Research

Cloud computing is used to provide users with computer resources on-demand any time over the Internet. At the Hochschule Furtwangen University (HFU) students, lecturers, and researchers can leverage cloud computing to enhance their e-learning experience. This chapter presents how cloud computing provides on-demand virtual desktops for problem solving, on-demand virtual labs for special courses, and on-demand collaboration platforms to support research groups. The focus is how cloud services can be used, how they can be integrated into the existing HFU-IT infrastructure, and how new didactic models could look.

Intercloud

2020 ◽  
pp. 1750-1769
Author(s):  
Alexandru Aurel Costan ◽  
Bogdan Iancu ◽  
Petru Cosmin Rasa ◽  
Alexandru Radu ◽  
Adrian Peculea ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Future Internet ◽  
Cloud Services ◽  
The Internet ◽  
On Demand ◽  
Heterogeneous Services ◽  
Business Opportunities ◽  
Cloud Providers ◽  
Almost All

Cloud computing is considered the next step in the evolution of technological applications, services and products development, in the Future Internet and Internet of Things context. The permanent connection of users to the Internet has become widespread, so almost all available resources (data, software) can be placed on the Internet, shared between users - sometimes completely independently of others, and brought from the Internet to the user's computer on demand. The chapter highlights the benefits of using hybrid technology with a focus towards entrepreneurs and business innovators. Intercloud systems are built of heterogeneous services, offered by different providers of cloud computing. To emphasize the business opportunities offered by innovative Intercloud approaches, an architecture for the interconnection of cloud services offered by multiple cloud providers, with applications to e-health, is presented. The main concepts and business benefits of using Intercloud systems and an architecture for interconnecting cloud services from multiple cloud providers is described.

Principles, Methodology and Tools for Engineering Cloud Computing Systems

2012 ◽  
pp. 1553-1575
Author(s):  
Luis M. Vaquero ◽  
Luis Rodero-Merino ◽  
Juan Cáceres ◽  
Clovis Chapman ◽  
Maik Lindner ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Cloud Services ◽  
Computing Systems ◽  
Cloud Systems ◽  
On Demand ◽  
Research Initiatives

Cloud computing has emerged as a paradigm to provide every networked resource as a service. The Cloud has also introduced a new way to control cloud services (mainly due to the illusion of infinite resources and its on-demand and pay-per-use nature). Here, we present this lifecycle and highlight recent research initiatives that serve as a support for appropriately engineering Cloud systems during the different stages of its lifecycle.

scholarly journals General Collective Intelligence and the Cloud

2021 ◽  
Author(s):  
Andy E Williams
Keyword(s):  
Cloud Computing ◽  
Collective Intelligence ◽  
Cloud Service ◽  
Cloud Services ◽  
Cognitive Computing ◽  
Computing Platform ◽  
On Demand ◽  
Exponential Increase ◽  
Functional Models ◽  
Computing Platforms

The resources that can be made available on-demand through cloud computing are continually increasing. One potential addition is General Collective Intelligence or GCI, which has been defined as a platform that combines individuals into a single intelligence with the potential for exponentially greater general problem-solving ability (intelligence) than any individual. The concept of a cognitive computing platform involves leveraging GCI to orchestrate cooperation between any entities that are required in order to create the capacity to maximize any collective outcome targeted. Rather than executing programming code, a cognitive computing platform must execute functional models in which each of the functional operations composing that model is implemented in some programming language. All services that run on the cloud, as well as the cloud itself, can potentially be offered as cognitive computing platforms. Where current cloud computing limits customers to a particular cloud service vendor, cloud computing as a cognitive computing platform has the potential to completely decouple users from any such dependencies, while at the same time creating the potential for an exponential increase in demand for cloud services from those vendors that participate by decoupling their services in this way.

Intercloud

2017 ◽  
pp. 59-78
Author(s):  
Alexandru Aurel Costan ◽  
Bogdan Iancu ◽  
Petru Cosmin Rasa ◽  
Alexandru Radu ◽  
Adrian Peculea ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Future Internet ◽  
Cloud Services ◽  
The Internet ◽  
On Demand ◽  
Heterogeneous Services ◽  
Business Opportunities ◽  
Cloud Providers ◽  
Almost All

Cloud computing is considered the next step in the evolution of technological applications, services and products development, in the Future Internet and Internet of Things context. The permanent connection of users to the Internet has become widespread, so almost all available resources (data, software) can be placed on the Internet, shared between users - sometimes completely independently of others, and brought from the Internet to the user's computer on demand. The chapter highlights the benefits of using hybrid technology with a focus towards entrepreneurs and business innovators. Intercloud systems are built of heterogeneous services, offered by different providers of cloud computing. To emphasize the business opportunities offered by innovative Intercloud approaches, an architecture for the interconnection of cloud services offered by multiple cloud providers, with applications to e-health, is presented. The main concepts and business benefits of using Intercloud systems and an architecture for interconnecting cloud services from multiple cloud providers is described.

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