Unified Cloud Computing Adoption Framework

Paredes-Gualtor, Joel; Moscoso-Zea, Oswaldo; Saa, Pablo; Sandoval, F.; Rodas, Patricio

doi:10.1109/inciscos.2017.58

Cited by 5 publications

(6 citation statements)

References 23 publications

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“…We analyzed their individual strengths and weaknesses to then combine them into a more robust, generic, and implementable framework (Paredes-Gualtor et al, 2017).…”

Section: Methodsmentioning

confidence: 99%

“…A previously performed research turned out into a 6-step framework to guide any organization in the cloud computing adoption process (Paredes-Gualtor, Moscoso-Zea, Saa, Sandoval, & Rodas, 2017). This initial version was published as "Unified Cloud Computing Adoption Framework", in the 2017 International Conference on Information Systems and Computer Science (INCISCOS).…”

Section: Acknowledgmentsmentioning

confidence: 99%

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Moving the IT Infrastructure to the Cloud

et al. 2018

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Cloud computing services are nowadays advertised as an emerging business model. Moreover, these services bring innovative solutions in a more sophisticated competitive market. But, the decision for their adoption could be significantly reduced due to organizations’ concerns related to security, privacy, and trust. The challenge involves such questions as where to start, which provider should the company choose or whether it is even worthwhile. Thus, this paper proposes an improved unified framework, based on a previous study where a 6 step process framework was introduced. This improved framework add one new step for security and control after the migration process. At the end, a 7 processes framework is proposed aimed to fulfill organizations’ concerns when decide to adopt cloud computing services with a follow-up step. This additional step intends to help IT directors to make sure everything is working properly in a methodological way, in order to achieve a successful cloud computing migration process. An effective solution that is gaining momentum and popularity for competitive organizations.

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“…We analyzed their individual strengths and weaknesses to then combine them into a more robust, generic, and implementable framework (Paredes-Gualtor et al, 2017).…”

Section: Methodsmentioning

confidence: 99%

Section: Acknowledgmentsmentioning

confidence: 99%

Moving the IT Infrastructure to the Cloud

et al. 2018

Self Cite

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“…Minería de Datos no será utilizada exclusivamente para volúmenes extensos de información, realiza un proceso de extracción de datos mediante herramientas que utilizan métodos matemáticos e identificar patrones y tendencias en la gestión de empresas. (Paredes, Moscoso, Saa, Sandoval, & Rodas) "La minería de datos es el conjunto de técnicas y herramientas aplicadas al proceso trivial de extraer y presentar el conocimiento implícito, previamente desconocido, potencialmente útil y humanamente comprensible, a partir de grandes conjuntos de datos, con el objeto de predecir de forma autorizada tendencias y comportamientos y/o descubrir de forma automatizada modelos previamente desconocidos" (Paredes et al, 2017).…”

Section: Conceptos De Minería De Datosunclassified

“…Aprendizaje de reglas de asociación; la tarea de buscar asociaciones entre variables. Regresión, su objetivo es encontrar una función que modele los datos con el menor error (Paredes et al, 2017).…”

Section: Tareas De Minería De Datosunclassified

Explorando la minería de datos en la gestión educativa superior: desafíos y oportunidades en la era digital

Cedillo Arce,

Beltrán Abreo,

Saltos Arce

et al. 2024

Reincisol

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El presente estudio aborda la temática de la minería de datos en la gestión educativa superior, específicamente en los desafíos y oportunidades en la era digital, teniendo en cuenta que, se refiere al proceso de analizar grandes conjuntos de datos educativos para descubrir patrones, tendencias y conocimientos que puedan utilizarse para mejorar la toma de decisiones y el rendimiento académico en instituciones de educación superior. El objetivo del estudio se centra en demostrar la importancia de la minería de datos en la gestión educativa superior, para la toma de decisiones y acciones por parte de los actores académicos. Dentro de la metodología se llevará a cabo una revisión bibliográfica exhaustiva a través de la recopilación y análisis de información relevante, de artículos científicos y estudios académicos presentes en bases de datos, así como Google Académico. Se concluye que, la gestión educativa superior requiere decisiones acertadas, donde la minería de datos es clave. Esta técnica analiza datos académicos para mejorar procesos y prácticas educativas. Además, permite identificar patrones en el rendimiento, comportamiento estudiantil y deserciones, facilitando la resolución de problemas. Integrar la minería de datos en la gestión educativa predice y aborda asuntos como el desempeño docente y el diseño curricular. Finalmente, contribuye al desarrollo de profesionales competentes y éticos, mejorando la calidad educativa y la sociedad en general.

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“…[2] According to the service model, cloud computing can be divided into three basic models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). [3] The three deployment models of could computing are private cloud, public cloud and hybrid cloud. [4] Desktop cloud (or desktop virtualization), which combines the PaaS and SaaS, is one of the most significant application areas of cloud computing and also one of the most characteristic applications.…”

Section: Overview Of Desktop Cloud Technologymentioning

confidence: 99%

Construction of Laboratory Teaching and Management Platform Based on Desktop Cloud

Yang¹,

Zhang²,

Xie³

2018

Proceedings of the 2018 2nd International Conference on Education, Economics and Management Research (ICEEMR 2018)

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In order to improve students' practical skills and innovative abilities, higher education must focus on developing and managing practical teaching. Targeting at the problems existing in the practical teaching management platform under the traditional management mode, this article presents a fullfeatured laboratory teaching and management platform based on desktop cloud, which realizes the functions of laborato ry reservation, students' attendance management, network and equipment management, course resource management and practical teaching information database. In addition, the support for mobile terminals [mobile phones, laptops, tablets, etc.] on this platform has enabled the sharing of the laboratory information, improved the openness of labo ratories and facilitated teaching and learning. The evaluation demonstrates that the cloud-based teaching and management platform has functioned well in the School of Management of WUST and improved the quality of practical teaching, thus providing reference for the construction of laboratory teaching and management platform in the cloud era.

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Unified Cloud Computing Adoption Framework

Cited by 5 publications

References 23 publications

Moving the IT Infrastructure to the Cloud

Moving the IT Infrastructure to the Cloud

Explorando la minería de datos en la gestión educativa superior: desafíos y oportunidades en la era digital

Construction of Laboratory Teaching and Management Platform Based on Desktop Cloud

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