Key Factors Increasing Trust in Cloud Computing Applications in the Kingdom of Bahrain

Internet of Things (IoT) has become one of the key factors that enables, drives and accelerates the digital transformation all over the world. The vision of the IoT is not only the immediate access to the data but also the ability to turning data into intelligence. As such, there is a growing number of public cloud computing providers offering IoT related services, including data processing, data analyzing and data visualization. However, with tens of billions of microcontroller-powered devices getting involved in the era of IoT, the concerns for overall security, privacy and cost are rising constantly and exponentially. Furthermore, these issues cannot be solved by public cloud computing providers since they mainly focus on the software and services rather than on the end devices. In this article, an integrated solution including Azure Sphere devices and Azure cloud services is proposed to provide a comprehensive and efficient way to ensure security that starts in the device and extends to the cloud with limited budgets. Moreover, the implementation details including hardware components, software design and Azure cloud integration are presented to demonstrate the feasibility and efficiency of the proposed solution.

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Edge computing in Building automation system - pros and cons

Modeling, Control and Information Technologies ◽

10.31713/mcit.2019.31 ◽

2019 ◽

pp. 130-132

Author(s):

Anastasia Zakharchenko ◽

Oleksandr Stepanets

Keyword(s):

Cloud Computing ◽

The Internet ◽

Automation System ◽

Building Automation ◽

Key Factors ◽

Advantages And Disadvantages ◽

Building Automation System ◽

Pros And Cons ◽

The Impact ◽

The Internet Of Things

This article examines the use of Building automation system to give comfortable conditions for users to provide improving energy efficiency. We found out the impact of the Internet of Things concept on BAS development, and how the use of modern wireless technologies, edge and cloud computing is determining the way of the following progress. Also, their advantages and disadvantages were considered. A separate section focuses on the state of BAS in Ukraine and the key factors that influence it

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Efficient Virtual Machine Memory Transfer in Datacenter with optimal downtime

10.35543/osf.io/rqpm7 ◽

2019 ◽

Author(s):

Girish L

Keyword(s):

Cloud Computing ◽

Virtual Machine ◽

Virtual Machines ◽

Flow Chart ◽

Key Factors ◽

Virtual Machine Migration ◽

Memory Transfer ◽

Vm Migration ◽

Host Machine ◽

Machine Memory

Cloud computing is a technology which relies onsharing various computing resources instead of having localservers to handle applications. Cloud computing is driven byvirtualization technology. Virtual machines need migration fromone host to anther due to the presence of error or over loading orslowness in the current running host machine. Live Virtualmachine migration is the transfer of running virtual machinefrom one host to another without stopping the current runningtask. During this live virtual machine migration Downtime is oneof the key factors that have to be considered and assessed.Here we present detailed survey on what are the importance oflive virtual machine migration in cloud computing technologyand various techniques to reduce the downtime during livevirtual machine migration. The flow chart showing the steps usedin Pre copy approach for VM migration. And also we presentthe result of the comparison between the two virtual machinemigration environments, VMWare and Xen Server.

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Factors affecting Cloud Computing adoption in Higher Learning Institutions in South Africa: A case of Matjhabeng TVET Colleges

6th International Conference on Higher Education Advances (HEAd'20) ◽

10.4995/head20.2020.11243 ◽

2020 ◽

Author(s):

Dina Moloja ◽

Ephias Ruhode

Keyword(s):

South Africa ◽

Cloud Computing ◽

Data Security ◽

Higher Learning ◽

Key Factors ◽

Factors Affecting ◽

On Demand ◽

Cloud Computing Adoption ◽

Learning Institutions ◽

And Storage

Cloud Computing is one of the most important trends and newest area in the field of information technology in which resources (e.g. CPU and storage) can be leased and released by customers through the Internet in an on-demand basis. The adoption of Cloud Computing in Higher Learning Institution is a real opportunity. Although Cloud computing has gained popularity in the world especially in education and industry, but its impact in colleges is still unexplored. This exploratory qualitative research seeks to identify the factors affecting the adoption of Cloud Computing in South Africa, focusing on Matjhabeng TVET colleges. 35 IT stakeholders from two TVET colleges was interviewed. Thematic analysis was utilised to analase data. After data was analysed, the findings revealed that data security, lack of internet access and lack of infrastructure resources are key factors that affects Cloud computing adoption in Matjhabeng TVET colleges. This paper contributes to the literature on Cloud Computing adoption in Higher Learning Institutions in South Africa.

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Adoption of Cloud Computing in India

Journal of Technology Management for Growing Economies ◽

10.15415/jtmge.2011.22010 ◽

2011 ◽

Vol 2 (2) ◽

pp. 65-78 ◽

Cited By ~ 6

Author(s):

Anudeep Rawal

Keyword(s):

Cloud Computing ◽

Cost Savings ◽

State Governments ◽

Data Loss ◽

Key Factors ◽

Developed Markets ◽

On Demand ◽

National Federation ◽

Structured Questionnaire ◽

Regulatory Challenges

The researcher looks at adoption and applicability of cloud computing to e-governance in India. Data has been gathered via structured questionnaire from stakeholders of various businesses - public & private sector of India, including Indian IT companies that offer cloud computing solutions to clients. The study takes a balanced and unbiased view of cloud computing with focus on India, to figure out the key factors that lead to its adoption using factor analysis and whether these factors could be the drivers for its adoption in e-governance. Cloud computing has picked up in developed markets and is starting to pick up in India. For enterprises, SMB, Government, NGO & individuals - it reduces initial investments, results in cost savings, gives flexibility, scalability, service on demand, device independency and anytime accessibility and reduces key data loss in the event of hardware crash, loss or theft. However, it has issues like confidentiality, information security, legal & regulatory challenges and malicious attacks as data gets stored in a distributive internet cloud, generally beyond any nation\\\'s geography. The intended target audience for this research are Union & State Governments, Large Municipal Corporations, National Federation of Urban cooperative and credit bank societies Ltd.

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Smart University: Key Factors for a Cloud Computing Adoption Model

Intelligent Sustainable Systems - Lecture Notes in Networks and Systems ◽

10.1007/978-981-16-6369-7_8 ◽

2021 ◽

pp. 85-93

Author(s):

Dewar Rico-Bautista ◽

César D. Guerrero ◽

César A. Collazos ◽

Gina Maestre-Gongora ◽

María Camila Sánchez-Velásquez ◽

...

Keyword(s):

Cloud Computing ◽

Key Factors ◽

Cloud Computing Adoption ◽

Adoption Model

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Key Factors Impacting Cloud Computing Adoption

Computer ◽

10.1109/mc.2013.362 ◽

2013 ◽

Vol 46 (10) ◽

pp. 97-99 ◽

Cited By ~ 18

Author(s):

Lorraine Morgan ◽

Kieran Conboy

Keyword(s):

Cloud Computing ◽

Key Factors ◽

Cloud Computing Adoption

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Digital imaging and quantitative image analysis of polymer blends

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100163319 ◽

1996 ◽

Vol 54 ◽

pp. 170-171

Author(s):

Xiao Zhang

Keyword(s):

Digital Imaging ◽

Imaging Techniques ◽

Imaging Systems ◽

Polymer Science ◽

Key Factors ◽

Multiple Imaging ◽

Quantitative Image ◽

Digital Imaging Systems ◽

Multi Phase ◽

Network Technologies

Polymer microscopy involves multiple imaging techniques. Speed, simplicity, and productivity are key factors in running an industrial polymer microscopy lab. In polymer science, the morphology of a multi-phase blend is often the link between process and properties. The extent to which the researcher can quantify the morphology determines the strength of the link. To aid the polymer microscopist in these tasks, digital imaging systems are becoming more prevalent. Advances in computers, digital imaging hardware and software, and network technologies have made it possible to implement digital imaging systems in industrial microscopy labs.

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