Strategic Planning for Cloud Computing Adoption in STEM Education

E Learning ◽

Management Effort ◽

And Mathematics

This chapter describes effective strategic analysis and implementation methods for the adoption of cloud computing services (infrastructure, platforms, and software) in Science, Technology, Engineering, and Mathematics (STEM) education. The benefits of cloud computing, including lower costs, scalability and virtualization capabilities, have been recognized and adopted by major educational, governmental and research institutions internationally during the last five years. However, the term ‘cloud computing' was only recently clarified in 2011 in the NIST's standard definition published by Mell and Grance (2012) as “a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction.” Despite the increasing clarity in defining cloud computing, the deployment models can be complex, encompassing hybrid, public, community and private cloud frameworks, all with varying levels of privacy, security, and trust. Data format, integrity, and portability as well as geographical server location represent additional factors that educational institutions must weigh when they consider adopting a cloud solution for their educational needs. The chapter provides advice on how to strategically plan for the use of cloud computing services and how to identify, weigh and assess the various factors in decision-making. Just as with e-learning when it was found at the end of the 1990s that purely online technological approaches were not as effective as pedagogical models (blended learning) which took into account human factors such as student motivation, teacher training, technological illiteracy, etc., the author suggests that a holistic technology adoption process that includes needs assessment and stakeholder engagement will be the most successful.

Harnessing Cloud Computing Services for E-Learning Systems in Higher Education

International Journal of Information and Communication Technology Education ◽

10.4018/ijicte.2019040102 ◽

2019 ◽

Vol 15 (2) ◽

pp. 18-30

Author(s):

Abderrahim El Mhouti ◽

Mohamed Erradi

Keyword(s):

Higher Education ◽

Cloud Computing ◽

Learning Systems ◽

Learning And Teaching ◽

Computing Services ◽

E Learning ◽

Learning Platforms ◽

Basic Infrastructure ◽

Common Architecture

The use of e-learning suggests the use of ICT to enhance the quality of learning and teaching. However, many higher education institutions, does not have e-learning platforms, resources and infrastructure necessary to implement this type of training. This is due to the need for high cost of basic infrastructure and applications challenges related projects it has to face. This article puts forward an overview on what is the current state of the use of cloud computing in e-learning in higher education context, where the use of computers is increasingly intensive. The article analyzes e-learning systems challenges and trends, the convenience of cloud computing for e-learning and the key benefits of e-learning on the cloud. The article exposes also some application solutions using cloud computing in e-learning for higher education, by presenting the most common architecture that has been adopted. Finally, this article discusses issues related to the implementation of cloud-based e-learning systems and presents some potential ways to overcome them.

A Proposed Smart E-Learning System Using Cloud Computing Services: PaaS, IaaS and Web 3.0

International Journal of Emerging Technologies in Learning (iJET) ◽

10.3991/ijet.v7i3.2066 ◽

2012 ◽

Vol 7 (3) ◽

Cited By ~ 4

Author(s):

Dr.Mona M. Nasr ◽

Shimaa Ouf

Keyword(s):

Cloud Computing ◽

Learning System ◽

Web 3.0 ◽

Computing Services ◽

E Learning ◽

Cloud Computing Services

The Importance of Business Model Factors for Cloud Computing Adoption: Role of Previous Experiences

Organizacija ◽

10.1515/orga-2017-0013 ◽

2017 ◽

Vol 50 (3) ◽

pp. 255-272 ◽

Cited By ~ 3

Author(s):

Kristina Bogataj Habjan ◽

Andreja Pucihar

Keyword(s):

Cloud Computing ◽

Business Model ◽

Business Models ◽

Service Providers ◽

Organizational Factors ◽

Research Results ◽

Computing Services ◽

The Impact

Abstract Background and Purpose: Bringing several opportunities for more effective and efficient IT governance and service exploitation, cloud computing is expected to impact the European and global economies significantly. Market data show that despite many advantages and promised benefits the adoption of cloud computing is not as fast and widespread as foreseen. This situation shows the need for further exploration of the potentials of cloud computing and its implementation on the market. The purpose of this research was to identify individual business model factors with the highest impact on cloud computing adoption. In addition, the aim was to identify the differences in opinion regarding the importance of business model factors on cloud computing adoption according to companies’ previous experiences with cloud computing services. Methodology: Based on literature review, prior research results, and interviews with cloud computing providers and users, a research model was developed. Statistical analysis focused on identification of factors’ importance on cloud computing adoption and differences in opinions according to respondents’ previous experiences with cloud computing services. The study was done among 80 companies and five major cloud computing providers in Slovenia. Results: The research results reveal statistically significant differences in opinions on the importance of cloud computing business model factors according to respondents’ previous experiences with cloud computing services. The results can provide orientation for redesign or innovation of existing business models towards the creation of a customer-oriented business model for the more successful exploitation of cloud computing services and business opportunities. For potential users, the findings represent guidelines for the successful adoption of cloud computing services. Conclusions: In our research, the investigated business model factors could be classified into so-called “business model organizational factors”, as they primarily need to be considered by cloud service providers when defining or innovating their business models. For future research, the model should also include the impact of environmental factors, such as Competition, Business Partners, Legislation, Economic Situation, in order to investigate their impact on cloud adoption.

Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing ◽

Harnessing Cloud Computing Services for E-Learning Systems in Higher Education

10.4018/978-1-7998-5339-8.ch072 ◽

2021 ◽

pp. 1466-1480

Author(s):

Abderrahim El Mhouti ◽

Mohamed Erradi

Keyword(s):

Higher Education ◽

Cloud Computing ◽

Learning Systems ◽

Learning And Teaching ◽

Computing Services ◽

E Learning ◽

Learning Platforms ◽

Basic Infrastructure ◽

Common Architecture

The use of e-learning suggests the use of ICT to enhance the quality of learning and teaching. However, many higher education institutions, does not have e-learning platforms, resources and infrastructure necessary to implement this type of training. This is due to the need for high cost of basic infrastructure and applications challenges related projects it has to face. This article puts forward an overview on what is the current state of the use of cloud computing in e-learning in higher education context, where the use of computers is increasingly intensive. The article analyzes e-learning systems challenges and trends, the convenience of cloud computing for e-learning and the key benefits of e-learning on the cloud. The article exposes also some application solutions using cloud computing in e-learning for higher education, by presenting the most common architecture that has been adopted. Finally, this article discusses issues related to the implementation of cloud-based e-learning systems and presents some potential ways to overcome them.

Comparisons of Cloud Computing Models and Technologies

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.524-527.3805 ◽

2012 ◽

Vol 524-527 ◽

pp. 3805-3808

Author(s):

Yu Hu

Keyword(s):

Cloud Computing ◽

Competitive Advantage ◽

Service Provider ◽

Network Access ◽

Configurable Computing ◽

On Demand ◽

New Ideas ◽

Management Effort ◽

Computing Models

Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Cloud computing allows new ideas, business concepts, and prototype systems to rapidly move to market, which represents a competitive advantage. Some cloud computing models and technologies are compared in this paper.

Advances in Systems Analysis, Software Engineering, and High Performance Computing - Handbook of Research on High Performance and Cloud Computing in Scientific Research and Education ◽

From Mainframe to Cloud

10.4018/978-1-4666-5784-7.ch001 ◽

2014 ◽

pp. 1-30

Author(s):

Božidar Radenković ◽

Petar Kočović

Keyword(s):

Cloud Computing ◽

Cloud Model ◽

Educational Institutions ◽

Network Access ◽

Configurable Computing ◽

Context Aware Computing ◽

Business Applications ◽

Management Effort ◽

Definition Of ◽

The Cost

The adoption of cloud computing accelerated significantly over the past few years, and this trend will remain. As cloud-computing technologies and vendors mature, more educational institutions will adopt the Internet-based computing style. Organizations will use cloud computing to reduce the cost of e-mail, IT infrastructure, data centers and storage, and business applications. Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. This cloud model promotes availability and is composed of five essential characteristics, three service models, and four deployment models. The absence of a clear definition of cloud computing is slowing the adoption of cloud computing by needlessly increasing user apprehension and obscuring the cloud's benefits. Organizations need to understand cloud computing before they can realize its benefits and avoid its risks. This chapter clears up confusion about the cloud by defining cloud computing and its characteristics, architectural model, benefits, and shortcomings. This chapter provides the definition of the concept of cloud computing and cloud computing as a service. Subsequently, it explores the characteristics of different types of clouds, as well as the security aspect of this technology. Major trends of cloud computing, such as social computing, context-aware computing, and pattern based strategy, are described. In a conclusion, the authors provide an overview of future use of cloud computing.

From Mainframe to Cloud

Cloud Technology ◽

10.4018/978-1-4666-6539-2.ch006 ◽

2015 ◽

pp. 116-145

Author(s):

Božidar Radenković ◽

Petar Kočović

Keyword(s):

Cloud Computing ◽

Cloud Model ◽

Educational Institutions ◽

Network Access ◽

Configurable Computing ◽

Context Aware Computing ◽

Business Applications ◽

Management Effort ◽

Definition Of ◽

The Cost

The adoption of cloud computing accelerated significantly over the past few years, and this trend will remain. As cloud-computing technologies and vendors mature, more educational institutions will adopt the Internet-based computing style. Organizations will use cloud computing to reduce the cost of e-mail, IT infrastructure, data centers and storage, and business applications. Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. This cloud model promotes availability and is composed of five essential characteristics, three service models, and four deployment models. The absence of a clear definition of cloud computing is slowing the adoption of cloud computing by needlessly increasing user apprehension and obscuring the cloud's benefits. Organizations need to understand cloud computing before they can realize its benefits and avoid its risks. This chapter clears up confusion about the cloud by defining cloud computing and its characteristics, architectural model, benefits, and shortcomings. This chapter provides the definition of the concept of cloud computing and cloud computing as a service. Subsequently, it explores the characteristics of different types of clouds, as well as the security aspect of this technology. Major trends of cloud computing, such as social computing, context-aware computing, and pattern based strategy, are described. In a conclusion, the authors provide an overview of future use of cloud computing.

DETERMINANTS OF CLOUD COMPUTING ADOPTION BY ROMANIAN SMES IN THE DIGITAL ECONOMY

Journal of Business Economics and Management ◽

10.3846/jbem.2019.9856 ◽

2019 ◽

Vol 20 (4) ◽

pp. 798-820 ◽

Cited By ~ 2

Author(s):

Violeta Mihaela Dincă ◽

Alina Mihaela Dima ◽

Zoltán Rozsa

Keyword(s):

Cloud Computing ◽

Large Scale ◽

Online Survey ◽

Cloud Service ◽

Computing Services ◽

Scientific Papers ◽

Service Introduction ◽

Main Components

The purpose of this paper is to explore the process of Cloud Computing adoption within Romanian Small and Medium sized Enterprises in the digital age. Most of the scientific papers related to this topic examine the general outlook of cloud computing implementation in Romania and focus on the use of the afore-mentioned technologies by large scale companies. In order to identify the factors that have an influence over the choice of Romanian SMEs to adopt cloud computing technology, a conceptual model has been set forth. The model’s dependent variable is the choice of the company’s management to implement cloud computing technologies. Five different independent types of variable structures which have an effect on the adoption of cloud computing within SMEs were identified. The five categories of variables are competition & government, ICT providers & firm departments, employee, manager and technological factors. Each of these categories of determinants encompasses at their turn two or more constructs. An online survey tested the model based on the responses of managers and directors from 198 Romanian SMEs from the cities of Bucharest and Cluj. The validity of the model was performed by completing factor analysis and reliability tests of the data; a logistic regression analysis was deployed to test the research hypotheses. The results emphasized that the managers’ know-how on cloud computing and the perceived costs of implementing the technology represent the main components influencing the spreading of cloud computing among Romanian SMEs. This study makes a valuable contribution to the academic environment but to businesses as well. The model can be used to examine the implementation of different innovative applications. Companies which offer cloud computing services could take advantage of the outcomes of this study to expand the degree of cloud service introduction among SMEs.

A Literature Review on the Readiness for Providing Cloud Services Locally in Yemen

International Journal of Computer Science and Mobile Computing ◽

10.47760/ijcsmc.2021.v10i9.007 ◽

2021 ◽

Vol 10 (9) ◽

pp. 66-79

Author(s):

Omar Ahmed Al-Motwakel ◽

Nagi Al-Shaibany

Keyword(s):

Cloud Computing ◽

Literature Review ◽

Review Paper ◽

Cloud Services ◽

End User ◽

Computing Services ◽

Cloud Migration ◽

Telecom Sector

Over time, the importance of information and the need to use it are increased. Cloud computing provides data and computing resources to clients as a service. However, cloud computing provides to the end user computing recourses such as software, hardware, and information as a service through the available interface over the Internet to be with more advantages to make the information available and accessible whenever is needed, by using the cloud computing services offers these services. The main purpose of this literature review paper is to develop an understanding of cloud computing adoption. Moreover, this paper forms the basis of our theoretical study. In particular, we review the state of the art of cloud computing and discuss about it aspects and features. In addition, we provide a set of cloud readiness criteria and review cloud migration in some countries that have already shifted to cloud. In this paper, we investigate the readiness to provide cloud services locally, as well as the chances and challenges of combining cloud services with existing infrastructure. Furthermore, the telecom sector infrastructure is suitable to provide cloud services, as the first step to provide the cloud into the network infrastructure of such providers, enabling and enhancing the telecom sector services and infrastructure.