Characterization of Cloud Computing Reversibility as Explored by the DELPHI Method

2019 ◽  
Vol 22 (6) ◽  
pp. 1505-1518 ◽  
Author(s):  
Wafa Bouaynaya
Author(s):  
Mohamed Makhlouf ◽  
Oihab Allal-Chérif

This article aims to study the strategic transformative value dimensions of cloud computing. Organizational requirements, managerial strategic objectives, and their attendant challenges are very specific indicators that enable characterization of these dimensions. An exploratory study of 173 cases of companies, covering 17 distinct economic activity sectors, spread over all continents, was conducted, taking into account contingency factors such as culture, size, and structure. The elements of industry, strategy, and technology were also considered, as well as managerial cognition. The analyses of needs, objectives, challenges, implemented solutions, and results of the transformation to cloud computing, enabled us to identify these dimensions. Strategies to maximize the transformative value of cloud computing are then presented. The results of this study can be used by managers to facilitate and optimize this cloud computing transformation.


2012 ◽  
Vol 628 ◽  
pp. 380-385
Author(s):  
Chiang Ku Fan ◽  
Chen Mei Fan Chiang ◽  
Yu Hsuang Lee

There is little objective, scientific research focused on evaluating the loss exposure that results from cloud computing. In this study, a modified Delphi method and the analytic hierarchy process were employed to identify and evaluate risks of cloud computing. The findings of this study are: (1) Loss exposures attributable to Jurisdiction, Burglary, Natural disaster, Normal wear and tear or malfunctions are characterized by high frequency but relatively low severity. (2) Loss exposures attributable to Privacy, Damaged or spoiled by employees intentionally or accidentally, and System vulnerability can be addressed through insurance. (3) Risks generated through Agreement or contract, Social engineering, Mistakes made by employees intentionally or accidentally, and Cross-cloud compatibility are characterized by both high frequency and severity.


2019 ◽  
Vol 27 (1) ◽  
pp. 128-143 ◽  
Author(s):  
Mohamed Makhlouf ◽  
Oihab Allal-Chérif

This article aims to study the strategic transformative value dimensions of cloud computing. Organizational requirements, managerial strategic objectives, and their attendant challenges are very specific indicators that enable characterization of these dimensions. An exploratory study of 173 cases of companies, covering 17 distinct economic activity sectors, spread over all continents, was conducted, taking into account contingency factors such as culture, size, and structure. The elements of industry, strategy, and technology were also considered, as well as managerial cognition. The analyses of needs, objectives, challenges, implemented solutions, and results of the transformation to cloud computing, enabled us to identify these dimensions. Strategies to maximize the transformative value of cloud computing are then presented. The results of this study can be used by managers to facilitate and optimize this cloud computing transformation.


2016 ◽  
Vol 3 (23) ◽  
pp. 98
Author(s):  
Frey Alfonso Santamaría-Buitrago ◽  
Javier Antonio Ballesteros-Ricaurte ◽  
Juan Sebastián González-Sanabria

Actualmente las instituciones de educación superior desarrollan su docencia apoyada en los campus virtuales, en modalidad tanto presencial como semipresencial. De igual manera, la internacionalización de la enseñanza abre nuevos desafíos como: la creación de redes de investigación, espacios de trabajos compartidos, laboratorios virtuales y remotos, entre otros, apostando por sistemas de producción, publicación y distribución de contenidos educativos digitales que permitan compartir el conocimiento y el material educativo. La presente propuesta pretende potencializar el desarrollo de ecosistemas de experimentación académica, abiertos, reusables e interoperables, a través del diseño de marco de trabajo e integración tecnológica orientado a la implementación de laboratorios virtuales y teleoperados, basado en el estándar IMS Learning Tools Interoperability® (LTI®).  Para lograrlo se partió de del reconocimiento del contexto para luego caracterizar el conjunto de métodos y tecnologías aplicables al desarrollo de laboratorios virtuales y teleoperados, identificar las alcances procedimentales y criterios técnicos para su desarrollo que permite ofrecer servicios informáticos en entornos académicos a través de internet, el control de los recursos, procesos e información, acceso infraestructuras de red con otros usuarios para la puesta en marcha de nuevos servicios, sin altos costos o inversión para su implementación, permitiendo una alta escalabilidad y flexibilidad en la modificación del dimensionamiento del servicio, la investigación académica y científica apoyado en estándares, arquitecturas, tecnologías, herramientas y aplicaciones abiertas y de propósito general.Cloud computing as technologic infrastructure for virtual, remote and adaptive labsABSTRACT Nowadays, institutions of higher education are developing teaching process leaning on virtual campus, in classroom and blended learning; as well as the internationalization of teaching creates new challenges, such as: creating research networks, shared workspaces, virtual and remote labs, among others; betting on production, publication and distribution systems of educative digital contents that allow sharing knowledge and educational material. This proposal pretends to potentiate the development of open, reusable and interoperable academic experimentation ecosystems, through the design of a framework and the technological integration oriented to the implementation of virtual and tele operated labs, based on IMS Learning Tools Interoperability ® (LTI®) standard. This coupled with the characterization of a set of methods and technologies applicable to the development of virtual and tele operated labs, identifying its scope and technical criteria, in order to offer informatics services in academic environments through the Internet and allowing a high scalability and flexibility in modifying the sizing of the service, academic and scientific research, supported on open standards, architectures, technologies, tools and apps.Cloud computing infra-estrutura para as technologic virtual, remoto e adaptativa labsRESUMO Hoje em dia, as instituições de ensino superior estão a desenvolver processo de ensino apoiado em campus virtual, em sala de aula e blended learning; bem como a internacionalização do ensino cria novos desafios, tais como: a criação de redes de investigação, espaços de trabalho compartilhados, laboratórios virtuais e remotos, entre outros; apostando em sistemas de produção, publicação e distribuição de conteúdos digitais educativos que permitem a partilha de conhecimentos e material educativo. Esta proposta pretende potenciar o desenvolvimento de ecossistemas experimentação acadêmicos abertos, reutilizáveis e interoperáveis, através da concepção de um quadro ea integração tecnológica orientada para a implementação de laboratórios virtuais operados e tele, com base em IMS Learning Tools Interoperability ® (LTI®) padrão . Isso, combinado com a caracterização de um conjunto de métodos e tecnologias aplicáveis ao desenvolvimento de laboratórios operados virtuais e tele, identificando o seu âmbito e critérios técnicos, a fim de oferecer serviços de informática em ambientes acadêmicos através da Internet e que permite uma alta escalabilidade e flexibilidade na modificar o dimensionamento do serviço, pesquisa acadêmica e científica, apoiada em padrões abertos, arquiteturas, tecnologias, ferramentas e aplicativos.


Author(s):  
Marcio R. M. Assis ◽  
Luiz Fernando Bittencourt ◽  
Rafael Tolosana-Calasanz ◽  
Craig A. Lee

With the maturation of the Cloud Computing, the eyes of the scientific community and specialized commercial institutions have turned to research related to the use of multiple clouds. The main reason for this interest is the limitations that many cloud providers individually face to meet all the inherent characteristics of this paradigm. Therefore, using multiple cloud organizations opens the opportunity for the providers to consume resources with more attractive prices, increase the resilience as well as to monetize their own idle resources. When considering customers, problems as interruption of services, lack of interoperability that lead to lock-in and loss of quality of services due to locality are presented as limiting to the adoption of Cloud Computing. This chapter presents an introduction to conceptual characterization of Cloud Federation. Moreover, it presents the challenges in implementing federation architectures, requirements for the development of this type of organization and the relevant architecture proposals.


2019 ◽  
Vol 4 (1) ◽  
pp. 1-7
Author(s):  
Gerardo M. Casañola-Martin ◽  
Hai Pham-The

The development of machine learning algorithms together with the availability of computational tools nowadays have given an increase in the application of artificial intelligence methodologies in different fields. However, the use of these machine learning approaches in nanomedicine remains still underexplored in certain areas, despite the development in hardware and software tools. In this review, the recent advances in the conjunction of machine learning with nanomedicine are shown. Examples dealing with biomedical properties of nanoparticles, characterization of nanomaterials, text mining, and image analysis are also presented. Finally, some future perspectives in the integration of nanomedicine with cloud computing, deep learning and other techniques are discussed.


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