Implementation Of Cloud Services Research Articles

Building a framework to drive government systems' adoption of cloud computing through IT knowledge

abstractMany governments in developing countries are finding it challenging to integrate cloud computing into their e-government systems because of the limited effective identification and evaluation of important factors. Cloud computing usage in government organizations is still restricted due to concerns over security, regulatory challenges, cultural resistance to new technologies, infrastructure limitations, and other factors (Abied et al. in Sustainability 14:15590, 2022). This research suggests a model that analyses the factors influencing the adoption of cloud computing in e-government systems within Jordanian government organizations by decision-makers. The survey was distributed online to a purposive sample consisting of 373 IT professionals and top-level managers in government organizations in Jordan. The study demonstrates that the technological factors which include complexity, compatibility, relative advantage, and security, the organisational factors which consist of top management support and cost, and the environmental factors which include industry competition and government rules and regulations, had a significant and positive impact on the adoption of cloud-based services in government systems. Furthermore, IT knowledge held by decision makers was recognized as a key factor in the adoption of cloud computing for e-government systems. This research is anticipated to provide significant insights for any organizations making investment decisions about the use of cloud-based services. This research considers the assessment of multiple aspects to encourage top management to analyse the consequences of implementing cloud services for e-government systems. This case study might not be applied broadly to all types of organizations in Jordan. Future research should employ large-scale samples to ensure the study's representativeness and could also broaden the scope by including samples from similar countries to validate the model or its implementation across different cultures, IT infrastructure and geographical settings. In addition, it is recommended that upcoming research consider using the level of experience and education as moderators.

ДЕРЖАВНЕ РЕГУЛЮВАННЯ ВИКОРИСТАННЯ ХМАРНИХ СЕРВІСІВ

The article considers the development and implementation of cloud services in the work of government agencies. The classification of the choice of cloud service providers is offered, which can serve as a basis for decision making. The basics of cloud computing technology are analyzed. The COVID-19 pandemic has identified the benefits of cloud services in remote work Government agencies at all levels need to move to cloud infrastructure. Analyze the prospects of cloud computing in Ukraine as the basis of e-governance in development. This is necessary for the rapid provision of quality services, flexible, large-scale and economical technological base. The transfer of electronic information interaction in the cloud makes it possible to attract a wide range of users with relatively low material costs. Automation of processes and their transfer to the cloud environment make it possible to speed up the process of providing services, as well as provide citizens with minimal time to obtain certain information. The article also lists the risks that exist in the transition to cloud services and the shortcomings that may arise in the process of using them.

RETRACTED: Methodology for using web technologies to develop the intellectual abilities of future mathematics teachers

• The current stage of development of Kazakh education is characterised by intensification of large-scale transformations. • The Internet has made significant changes in the organisation of public space. • In the process of teaching a discipline, the Internet can play the role of a source of information, a means of control, a field of communication, a way of organising the learning process itself. The article actualises the problems of professional-pedagogical education, in particular, the issues of using web technologies in the process of psychological and pedagogical training of future mathematics teachers. The authors outlined a range of relevant issues, the solution of which is possible under the condition of implementing elements of a mixed learning system using cloud technologies. The article presents the results of an online survey of students of the specialisation “Secondary education” to determine the degree of using web applications in the process of psychological and pedagogical training and the degree of their interest in the use of cloud technologies in their future professional activities. The scientific novelty is determined by the fact that the ways of implementing cloud services into the educational process of high school are highlighted. The study identifies the system of principles that contribute to the effective organisation of psychological and pedagogical training of future mathematics teachers using web technologies. The practical significance of the study is determined by the fact that the main lines of improvement of the psychological and pedagogical training of future mathematics teachers are characterised, provided that web technologies are used.

Probabilistic Model for Resource Demand Prediction in Cloud

Dynamic cloud infrastructure provisioning is possible with the virtualization technology. Cost, agility and time to market are the key elements of the cloud services. Virtualization is the software layer responsible for interaction with multiple servers, bringing entire IT resources together and provide standardized Virtual compute centers that drives the entire infrastructure. The increased pooling of shared resources helps in improving self-provisioning and automation of service delivery. Probabilistic model proposed in this article is based on the hypothesis that the accurate resource demand predictions can benefit in improving the virtualization layer efficiency. The probabilistic method, uses the laws of combinatorics. The probability space gives an idea about both the partial certainty and randomness of the variable. The method is popular in theoretical computer science. The probabilistic models provide the predictions considering the randomness of the variables. In the cloud environment there are multiple factors dynamically affecting the resource demand needs. The resource demand has a certain degree of certainty but the randomness of requirements. This further leads to decrease in risk related to leveraging cloud services. It accelerates development and implementation of cloud services that overall improves the services pertaining to SLA.

Cloud Strategy Development for Medium and Small Business

The authors, within the present research, aim at making more extensive use of ICT by developing a cloud service strategy that will contribute to the dissemination of knowledge and help in deployment. Companies will be able to assess their readiness to implement cloud services, explore the approaches, benefits and disadvantages of cloud services. Cloud services are a solution to most SMEs, regardless of size, activity or existing ICT infrastructure. Smaller companies can implement SaaS-type solutions, but companies with advanced ICT infrastructure can focus on IaaS and PaaS-type solutions.

Cloud Services for Patient Cohort Identification Using the Informatics for Integrating Biology and the Bedside Platform.

Despite the widespread use of the “Informatics for Integrating Biology and the Bedside” (i2b2) platform, there are substantial challenges for loading electronic health records (EHR) into i2b2 and for querying i2b2. We have previously presented a simplified framework for semantic abstraction of EHR records into i2b2. Building on our previous work, we have created a proof-of-concept implementation of cloud services on an i2b2 data store for cohort identification. Specifically, we have implemented a graphical user interface (GUI) that declares the key components for data import, transformation, and query of EHR data. The GUI integrates with Azure cloud services to create data pipelines for importing EHR data into i2b2, creation of derived facts, and querying for generating Sankey-like flow diagrams that characterize the patient cohorts. We have evaluated the implementation using the real-world MIMIC-III dataset. We discuss the key features of this implementation and direction for future work, which will advance the efforts of the research community for patient cohort identification.

Gender Effect on Cloud Computing Services Adoption by University Students: Case Study of Saudi Arabia

Cloud computing is a state of the art technology that provides services to individuals and organizations on demand via the Internet. Implementation of cloud services in an organization will lead to improved performance and reduced cost related to computing services. A number of previous studies suggest that there is a need to further investigate the role of gender on the adoption of cloud computing, especially in developing countries. The aim of this paper is to investigate the role of gender in the adoption of cloud computing services by university students in KSA. To meet the research objective an SEM study was conducted using responses from 451 Saudi higher education students to determine the role of gender on could computing acceptance in KSA context. The findings of this research show that there is a settle difference between female and male students where trust was found to be a significant determinant of behavioural intention for female students but not for their male counterparts. On the other hand, image was found to be a significant determinant of PU for male students but not for female students.

The Remote Access to Laboratories: a Fully Open Integrated System

Abstract An existing lab experience can be made remotely accessible in a relatively easy way. The problem is with the design of a tool which allows any kind of experience to be made remotely accessible. The complexity of this tool is out of discussion. Several universities have been working on it for years. In fact, the Huelva University presented the work “A Complete Solution for Developing Remote Labs” in the 10th IFAC Symposium on Advances in Control Education (2013). Such complete solution was the result of those universities working together. Since then, the joint-work has continued and improvements have also been achieved. Hereafter, a fully open integrated system is presented whose scope is greater than that of 2013. It offers a way to easily implement cloud services for managing the configuration and access to all type of sensors, actuators and controllers (the devices base of the any remote lab). The access proposed is secure, controlled, organized and collaborative.

CodingBlind: Automated Cloud Services Generation From Printed Forms and BPMN

Cloud service is a new trend in constructing enterprise applications. However, implementing cloud services is time consuming, costly, and error prone. Moreover, there are concerns about the isolation and flexibility of multitenancy cloud services. To solve these problems, we propose a novel and easy approach: CodingBlind, which automatically generates cloud services from the most commonly used printed forms and graphical business process modeling notation (BPMN). CodingBlind provides a natural solution for the deployment and migration of systems in clouds. First, printed forms are mapped onto entity-relationship models (ER models) to generate data services. States of data and a finite state machine (FSM) are constructed from the BPMN. Based on the FSM and the ER models, quadruple models for cloud services are generated. Then, a complete system package is generated according to the quadruple model. Finally, all of the components are packaged and deployed to a cloud. CodingBlind is easy to use because it only takes printed forms and BPMNs as inputs. Self-defining data and business logic make the generated cloud services flexible. Moreover, the business logic is strictly controlled by the FSM, which provides natural isolation for cloud applications. Case studies and experiments are conducted to assess the proposed approach, and the results show that it is feasible, convenient, and flexible.

Е-ENVIRONMENT BASED ON MICROSOFT SHAREPOINT FOR THE ORGANIZATION OF GROUP PROJECT WORK OF STUDENTS AT HIGHER EDUCATION INSTITUTIONS

Materials of the article are devoted to the experience of implementing cloud services in the process of training students at the National University of Life and Environmental Sciences of Ukraine. The latest research in the field of designing and creating e-environments for the organization of group project work has been analyzed. The e-environment model based on Microsoft SharePoint is developed and the method of using Office 365 cloud services in a single e-environment for organizing group project work of students is given. This article offers the developed criteria and selected tools for assessing the effectiveness of using the e-environment for the organization of group project work. It presents the materials and analysis of the results of applying the project method in the course of studying the academic discipline “Information Technologies” at the National University of Life and Environmental Sciences of Ukraine. It also defines the advantages of applying e-environment based on Microsoft SharePoint for the organization of students’ project work.

Investigating preconditions for a financially advantageous cloud usage

Purpose Information technology (IT) expenses constitute an important factor when choosing efficient IT systems. Especially with regard to cloud computing (CC), decision-makers tend to associate cost benefits. In this context, cloud providers present often undifferentiated sample calculations which aim to verify the financial favorability of their IT solutions. However, the scientific literature tries to encounter this by means of various total costs of ownership approaches. But science mostly neglects essential factors and does not provide an integrated approach involving factors, such as cost of capital, taxation effects, use intensity or duration of use. Hence, the purpose of this study is to involve these factors accordingly. Design/methodology/approach The paper uses a multi-method approach. First, existing literature is analyzed by a systematic literature review. Afterwards, the initial model is developed by means of a formal notation. Finally, the suitability of the formal model is evaluated by a real-life case study, where simulation software is used for investigating various scenarios. Findings The underlying paper discusses a formal model which integrates the four stated factors and enables decision-makers to compare cloud-based IT services on a comprehensive financial basis. Thus, the rational cost comparisons with traditional IT systems such as on-premise (OP) increase the transparency of the CC field significantly. Originality/value This paper shows impressively the importance of the four mentioned factors and their influence on the decision whether to implement cloud services or OP services. Herein, to the best of our knowledge and for the first time, a cash-flow-based comparison model is created for comparing cloud services and OP solutions.

The Design and Implementation of Cloud Service Based Customized Mobile Device Application System

In this paper, we propose a system plan for cloud service based local mobile device application customization. The mobile device acquires tailored function configuration from the cloud service and generates the plan for the application with a local configuration interpreting engine. The system enables local applications of mobile devices to be adaptive to the variation of requirements.

On evaluating commercial Cloud services: A systematic review

BackgroundCloud Computing is increasingly booming in industry with many competing providers and services. Accordingly, evaluation of commercial Cloud services is necessary. However, the existing evaluation studies are relatively chaotic. There exists tremendous confusion and gap between practices and theory about Cloud services evaluation. AimTo facilitate relieving the aforementioned chaos, this work aims to synthesize the existing evaluation implementations to outline the state-of-the-practice and also identify research opportunities in Cloud services evaluation. MethodBased on a conceptual evaluation model comprising six steps, the systematic literature review (SLR) method was employed to collect relevant evidence to investigate the Cloud services evaluation step by step. ResultsThis SLR identified 82 relevant evaluation studies. The overall data collected from these studies essentially depicts the current practical landscape of implementing Cloud services evaluation, and in turn can be reused to facilitate future evaluation work. ConclusionsEvaluation of commercial Cloud services has become a world-wide research topic. Some of the findings of this SLR identify several research gaps in the area of Cloud services evaluation (e.g., Elasticity and Security evaluation of commercial Cloud services could be a long-term challenge), while some other findings suggest the trend of applying commercial Cloud services (e.g., compared with PaaS, IaaS seems more suitable for customers and is particularly important in industry). This SLR study itself also confirms some previous experiences and records new evidence-based software engineering (EBSE) lessons.

Dynamic Right-Sizing for Power-Proportional Data Centers

Power consumption imposes a significant cost for data centers implementing cloud services, yet much of that power is used to maintain excess service capacity during periods of low load. This paper investigates how much can be saved by dynamically the data center by turning off servers during such periods and how to achieve that saving via an online algorithm. We propose a very general model and prove that the optimal offline algorithm for dynamic right-sizing has a simple structure when viewed in reverse time, and this structure is exploited to develop a new lazy online algorithm, which is proven to be 3-competitive. We validate the algorithm using traces from two real data-center workloads and show that significant cost savings are possible. Additionally, we contrast this new algorithm with the more traditional approach of receding horizon control.

Up in the Air: Moving Your Applications to the Cloud

An overview of cloud computing helps developers get beyond the hype by characterizing its unique requirements, the ways to implement cloud services, and the ways to operate the cloud infrastructure. A comparison of major products is included.