Resumen: La computación en la nube ha evolucionado la forma en que los técnicos de TI administran los recursos de infraestructura para respaldar las aplicaciones de software. El alquiler de equipos y servicios de proveedores de infraestructura en la nube, como Amazon Web Services, Microsoft Azure, etc., ha reemplazado la estrategia tradicional de instalar localmente equipos costosos. Hoy en día, los técnicos de TI modelan la infraestructura que necesitan escribiendo scripts y luego ejecutándolos en la plataforma del proveedor. Sin embargo, escribir scripts se convierte en una tarea compleja que implica interactuar con la Interfaz de Línea de Comandos y conocer los comandos que impone cada proveedor. En este contexto, la sustitución de la interacción textual por la visual se convierte en una necesidad. El objetivo de este trabajo es diseñar la interfaz de usuario (UI) de un editor web visual para modelar los recursos de la infraestructura de la nube. Para el diseño de la UI se aplicó la metodología de Diseño Centrado en el Usuario (UCD). Como parte de DCU, se llevó a cabo un estudio de las UI de herramientas en línea de diagramación para identificar patrones de diseño de UI; los que usan los diseñadores expertos al diseñar editores visuales. Los resultados demuestran que se definió un conjunto de 11 patrones de interfaz de usuario para diseñar interfaces de usuario de editores visuales. Además, se construyó un lenguaje de patrones considerando las relaciones entre patrones. Mediante el uso del lenguaje de patrones, se compuso el diseño de la interfaz de usuario del editor visual. A manera de conclusiones, el lenguaje de patrones proporcionó una forma lógica de componer la interfaz de usuario del editor visual. En este sentido, la IU propuesta junto con el lenguaje de patrones puede convertirse en un punto de referencia para el diseño de IU en este dominio. En trabajos futuros, la eficacia de la interfaz de usuario, para reducir la complejidad de definir la infraestructura en la nube, se evaluará con pruebas de usuario.

Abstract: Cloud computing has evolved the way IT technicians manage infrastructure resources to support software applications. Leasing equipment and services from cloud infrastructure providers, such as AmazonWeb Services, Microsoft Azure, etc., has replaced the traditional strategy of locally installing expensive equipment. Nowadays, IT technicians model the infrastructure they need by writing scripts, then running these scripts in the provider web platform. However, writing scripts becomes a complex task that involves interacting with the Command Line Interface and knowing the commands each provider imposes. In this context, replacing textual with visual interaction becomes a need. The purpose is to fesign the user interface (UI) of a visual web editor to model the cloud infrastructure resources. The User-Centered Design (UCD) methodology was applied to design the UI. As part of DCU, a study of the UIs of diagramming online tools was conducted to identify UI design patterns; those that expert designers use when designing visual editors.The results show that a set of 11 UI patterns for designing visual editor UIs was defined. In addition, a pattern language was built considering the relationships between patterns. By using the pattern language, the visual editor UI design was composed. As conclusions, the pattern language provided a logical way to compose the visual editor UI. In this sense, the proposed UI together with the pattern language can become a reference point for designing UIs in this domain. In future work, the effectiveness of the UI in reducing the complexity of defining the cloud infrastructure will be evaluated with user tests.

Abstract: This study explores the performance of the Weather Research and Forecasting System Model (WRF v.4.0) for a winter case under stable meteorological conditions in the Mexico Basin. To evaluate the sensitivity to spatial resolution and parametrization configurations, a suite of different numerical experiments is designed to test five Planetary Boundary Layer (PBL) schemes coupled to a Surface Layer parametrization (SL) and a cloud microphysics (MP) parametrization to find an optimal configuration in terms of closeness to physical reality and computational efficiency. The WRF atmospheric dynamics core and its ancillary physics routines constitute a massively parallel FORTRAN code that runs on the Tlaloc cluster at the ICAyCC-UNAM with optimized MPICH software. Two model performance metrics are used: 1) Taylor statistics to measure the distance between simulations and observed meteorological fields (near-surface and upper-level temperature and winds), and 2) CPU execution time. Results show that the Mellor-Yamada-Janjic (M) scheme performs best near the surface at 2.0 km horizontal resolution. However, the Yonsei University (Y) PBL scheme outperforms the M scheme when looking at temperature vertical profiles at the exact horizontal resolution. Both PBL schemes show negligible CPU execution time differences.

Abstract: Mobile cloud computing is currently an encouraging field in the cyber-physical world. It is an amalgamation of mobile computing and cloud computing. Computational offloading is one feature in the mobile cloud application that offloads the task to the cloud server, processes it, and gets the results back on the mobile device. During offload, the job needs to be queued on the cloud servers and allocated to the virtual machines. Task scheduling is an important step where the mobile task is assigned to the servers and processed somehow. In the overall offloading process, energy conservation is a significant concern. The scheduling problem involves mapping the offloaded task to the cloud server while satisfying the energy and time constraints. This paper proposes a hybrid scheduling scheme based on Gaussian-based multi-objective particle swarm optimization(GMOPSO) and bacterial foraging optimization(BFO). This scheme performs better when compared to other variants of PSO in terms of makespan and energy efficiency.

Abstract Purpose The purpose of this article is to identify the critical success factors (CSFs) of information technology (IT) projects using cloud computing. CSFs are variables that can influence the success of projects and therefore need to be identified and managed appropriately. Design/methodology/approach This is an exploratory qualitative study with 23 experts in cloud computing projects through semi-structured interviews. The data was analyzed using content analysis. Findings The results present a list of CSFs for projects in a cloud computing environment. The study demonstrated that the CSF with greater relevance to cloud projects is the team’s technical capacity, followed by the support of senior management and the team’s soft skills. In addition, results demonstrated that contract item management is a limiting factor for cloud projects. Research limitations/implications The sample comprised only Brazilian experts, so it may not represent the same scenario as in other locations. The CSF ratio for cloud computing projects may vary depending on the company’s maturity in projects of this nature. Practical implications The CSF relationship can guide managers in properly conducting cloud computing projects, contributing to minimizing the risks and challenges that may interfere with the project. Social implications The relationship of the CSFs in cloud computing projects proposed fills a gap in studies specifically related to this context and tries to minimize project managers’ stress. Originality/value Contract items for the cloud context are added to the CSF literature in IT projects, which have not been addressed so far.

Abstract The exponential growth of Databases at the beginning of this century generated the need for innovative mechanisms for information storage and management. One of these emerging paradigms is cloud computing, a model that provides access to a group of computing resources through the network in a simple way. The aim of this study is to elaborate a state of the art on aspects related to Databases used for cloud computing. For this, 5 research questions were specified that served to guide a systematic review of the literature with which 72 Primary Studies were analyzed; among the findings, eight specific techniques for Database modeling were found, the most cited being data encryption; likewise, it was possible to identify that Amazon is the most popular corporate provider for this type of management systems.

Resumen El crecimiento exponencial de las Bases de Datos a principios del presente siglo generó la necesidad de mecanismos innovadores para almacenamiento y gestión de información. Uno de estos paradigmas emergentes es el cómputo en la nube, un modelo que brinda acceso a un conjunto de recursos informáticos a través de la red de una manera sencilla. El presente estudio tiene como objetivo elaborar un estado del arte sobre aspectos vinculados con los esquemas de persistencia utilizados para el cómputo en la nube. Para ello se especificaron 5 preguntas de investigación que sirvieron para guiar una Revisión Sistemática de Literatura con la que se analizaron 72 Estudios Primarios. Entre los hallazgos se encontraron ocho técnicas específicas para el modelado de Bases de Datos, siendo la más citada el cifrado de datos; así mismo, se pudo identificar que Amazon es el proveedor corporativo más popular para dicho tipo de sistemas de gestión.

Abstract In recent years, the demand for applications that require High-Performance Computing (HPC) has grown rapidly. These types of applications are traditionally executed on a company's or research center's private infrastructure; however, a different approach can also be used: the cloud. It is important to take advantage of the flexibility that decentralized computing power provides. However, like any other approach, cloud computing faces challenges such as resource management, virtualization, performance issues, etc. In this article, we review related works on HPC in the cloud to identify the main trends and challenges in this area. Finally, we propose a categorization of the identified main trends.

Resumen En los últimos años, la demanda de aplicaciones que requieren Computación de Alto Rendimiento (HPC) ha aumentado considerablemente. Aunque tradicionalmente se ejecutan en infraestructuras privadas, cada vez es más común usar la nube como alternativa, gracias a su flexibilidad. Sin embargo, la computación en la nube también enfrenta desafíos como la gestión de recursos y virtualización, lo que afecta su desempeño. Para abordar estos desafíos, en este artículo se revisan trabajos relacionados con HPC en la nube y se analizan las principales tendencias y desafíos. Finalmente, presentamos una categorización de las tendencias identificadas.

Abstract: Research was carried out with the objective of studying the relationships between enterprise resource management and its planning in the implementation of a business management system (ERP) with Cloud Computing architecture in a company in the industrial processes sector. The research approach was based on documentary analysis, measurements and evaluations of contractual services and compliance with corporate parameters defined in the business process designs. The population and units of analysis focused on project documents and analytical references, as well as on the functionality of the work areas. The main investment values in consultancy for the implementation were identified, which represented 55.10% of the initial budget. However, during implementation, this representation decreased by 2%. The behavior of the subscription licensing service was also analyzed, which represented 22.35% of the total budget, but experienced a decrease of 5.25% in percentage terms. Although decreases were observed in the reasonable share of these elements, increases were recorded in consulting services and IT requirements management, with increases of 3.40% and 1.09%, respectively.

RESUMEN: Se llevó a cabo una investigación con el objetivo de estudiar las relaciones entre la gestión de recursos empresariales y su planificación en la implementación de un sistema de gestión empresarial (ERP) con arquitectura Cloud Computing en una empresa del sector de procesos industriales. El enfoque de la investigación se basó en el análisis documental, las mediciones y evaluaciones de los servicios contractuales y el cumplimiento de los parámetros corporativos definidos en los diseños de los procesos de negocio. La población y las unidades de análisis se centraron en los documentos y referencias analíticas de los proyectos, así como en la funcionalidad de las áreas de trabajo. Se identificaron los principales valores de inversión en consultoría para la implementación, los cuales representaron el 55.10% del presupuesto inicial. Sin embargo, durante la ejecución, esta representación disminuyó en un 2%. Asimismo, se analizó el comportamiento del servicio de licencia por suscripción, el cual representó el 22.35% del presupuesto total, pero experimentó una disminución del 5.25% en términos porcentuales. Aunque se observaron decrementos en la participación razonable de estos elementos, se registraron incrementos en los servicios de consultoría y gestión de requerimientos del área de TI, con aumentos del 3.40% y 1.09%, respectivamente.

International tax rules were developed more than a century ago. At their core is the principle that profits should be taxed where economic activities physically take place and where value is created. Advances in technology and the progression of the fourth industrial revolution have changed how businesses around the world operate and have given rise to the "digital economy". Businesses no longer need to be "physically" present in a jurisdiction but can operate digitally or virtually anywhere in the world. New business models such as e-commerce, payment services, app stores, online advertising, cloud computing and participative network platforms have emerged. The digital economy and these new business models pose various challenges to the effectiveness of rules on the current jurisdiction to tax; businesses are able to derive significant economic benefits from a country without a "taxable nexus" to such country - for example, without the creation of a fixed place of business, permanent establishment or establishing a place of effective management. The digital economy is global in nature and, therefore, policy actions dealing with the global economy need a global approach. The Organisation for Economic Cooperation and Development (OECD) has taken a leading role in developing new direct-tax rules that will address the tax challenges posed by the digital economy and has agreed to develop a two-pillar solution that can be consented to internationally and implemented by countries. Pillar one proposes new rules on tax nexus and profit allocation for large multinational enterprises (MNEs) that meet certain revenue and profitability thresholds. The rules do not require MNEs to be physically present in a jurisdiction. Pillar two proposes mechanisms to ensure large MNEs pay a minimum level of tax (currently set at 15 per cent) regardless of where their headquarters are or the jurisdictions in which they operate. Some countries (such as the United Kingdom (UK), United States of America (USA), India, and Nigeria) have opted to take unilateral measures as they wait for a global solution. These unilateral measures are often uncoordinated and give rise to some undesirable consequences, such as double taxation. South Africa has decided to wait for global consensus and is currently not taxing the digital economy through its direct-tax rules. Although the OECD solutions are helpful proposals on taxing the digital economy and are a step in the right direction, it is submitted that they are not completely suited for South Africa as a developing African country; they do not consider some of South Africa's unique circumstances, such as the prevalence of corruption, semi-skilled tax administration and limited resources. South Africa should not merely adopt the rules blindly but should adapt them to suit its needs as a developing country. South Africa needs to protect its tax base while embracing the digital economy; perhaps, while it waits for a global solution, it could strengthen its source rules as recommended by the Davis Tax Committee. This article is divided into two parts. Part 1 evaluates the suitability of South Africa adopting the OECD global solutions to the direct-tax challenges posed by the digital economy in a developing African country; Part 2 evaluates whether South Africa's response to these challenges is the best option by considering the approach and consequences of select developed and developing jurisdictions (that is, USA, UK, Nigeria and India) adopting unilateral measures while waiting for an OECD global solution.

With the growth of data traffic, demand of huge number of digital devices and their interconnection to establish a reliable communication, the internet has become a potential demand of the society. To develop a system that securely connects the internet to real-world space would aid in the advancement of a human-centered society that balances economic progress with the resolution of social issues. This paper provides a detailed aspect of Society 5.0 with its requirements, architecture, and components. We have proceeded extensively with the state-of-the-art Society 5.0 and its link with Industry 4.0/5.0. Furthermore, the role of Society 5.0 in the sustainable development goals of the United Nations is well elaborated. Several emerging communication and computing technologies such 5G/5G-Internet of Things (IoT), edge computing/ cloud computing/ fog computing, Internet of everything, blockchain, and beyond networks have been also well explored to fulfill the demands of Society 5.0. The potential application of super smart cities (Society 5.0) with some real-time experience of inhabitants is thoroughly discussed. Finally, we highlighted several open research challenges with opportunities. OPEN LICENSE: CC BY-NC-ND

Resumo: Este artigo apresenta o estado da arte de uma plataforma de monitoramento de áreas verdes urbanas – UrbVerde – para municípios do Estado de São Paulo. Sua construção se baseia em Cloud Computing e sensoriamento remoto orbital. Objetiva-se prover métricas de monitoramento das desigualdades socioambientais a partir das escalas municipal e intraurbana, incluindo indicadores de vegetação, temperatura de superfície e sistemas de espaços livres (parques e praças), relacionando-os com dados populacionais agrupados por setores censitários. Constitui-se, assim, uma base de informações acompanháveis e de livre acesso com potencial de aplicação para a construção de políticas públicas, a exemplo do programa Município VerdeAzul. Por meio das ferramentas interativas de análise e correlação de dados, destaca-se o aspecto inter-relacional das variáveis geográficas envolvidas, representando um ganho de inteligência de governança. Além disso, a abordagem utilizada fornece novos olhares sobre a distribuição e a acessibilidade das infraestruturas verdes nos municípios, promovendo a sensibilização dos gestores e uma maior inclusão da população nos processos de tomada de decisão. Deste modo, espera-se, com o apoio de uma tecnologia disruptiva, estimular conjuntamente o processo de suporte à decisão para a retomada verde na Década da Restauração de Ecossistemas (2021-2030), viabilizando o processo de transformação dos municípios em cidades inteligentes e sustentáveis.

Abstract: This article presents the state of the art of a monitoring platorm for urban green areas – UrbVerde – in the municipalites of the São Paulo State. Its constructon is based on Cloud Computing and orbital remote sensing. The objective is to provide metrics for monitoring socio-environmental inequalites from a local and intraurban scale, including vegetaton indexes, surface temperature, and open space systems (parks and squares), relating them to population aspects grouped by censitary sectors. It, thus, constitutes a trackable information base with potential for the implementaton of public policies, such as the Municípios VerdeAzul program. Through interactive data analysis and correlaton tools, the inter-relatonal aspect of the involved geographic variables is highlighted, representing a gain of governance intelligence. In additon, the approach in use provides new insights into the distribution and accessibility of municipalites’ green infrastructure, promoting awareness among managers and greater inclusion of the population in decision-making processes. In this way, it is expected, with the support of disruptive technology, to jointily stimulate the processes of decision support for green recovery in the Decade of Ecosystem Restoraton (2021-2030), enabling the process of transforming the municipalites into smart and sustainable cites.

Resumen: Este articulo presenta el estado del arte de la plataforma de monitoreo de áreas verdes urbanas – UrbVerde – para municipios del Estado de São Paulo. Su construcción se basa en Cloud Computing y teledetección orbital. El objetivo es proporcionar métricas para el seguimiento de las desigualdades socioambientales desde las escalas municipal e intraurbana, incluyendo indicadores de la vegetación, la temperatura superficial y el sistema de espacios abiertos (parques y plazas), relacionándolos con los datos de población agrupados por sectores censales. Se constituye, así, una base de informaciones rastreables y de libre acceso con potencial de aplicación en la construcción de políticas públicas, como el programa Municipio VerdeAzul. A través de las herramientas interactivas de análisis y correlación de datos, se resalta el aspecto interrelacional de las variables geográficas involucradas, lo que representa un incremento en inteligencia de gobernanza. Además, el enfoque utilizado proporciona nuevos conocimientos sobre la distribución y accesibilidad de la infraestructura verde en los municipios, promoviendo la concienciación entre los administradores y una mayor inclusión de la población en los procesos de toma de decisiones. De esta forma, se espera, con el apoyo de una tecnología disruptiva, estimular de manera conjunta el proceso de soporte a las decisiones para la recuperación verde en la Década de Restauración de Ecosistemas (2021-2030), viabilizando el proceso de transformación de los municipios en ciudades inteligentes y sustentables.

ABSTRACT Introduction: The information management speeds up the processes in different labor atmospheres, for which systems able to gather, organize and link the stored information are used. The cloud is based on existent technologies, such as virtualization and web services; it constitutes a computer landmark and it is adapted to diverse scenarios and contexts. Objective: To contribute the information management related to the databases of the polymerase chain reaction and the accreditation processes in the University of Medical Sciences from Santiago de Cuba through the cloud Infomed Santiago. Methods: An applied investigation of technological development was carried out in the Provincial Information Center of Medical Sciences, the University of Medical Sciences and the Provincial Center of Hygiene, Epidemiology and Microbiology in Santiago de Cuba, from June to December, 2021. Surveys were applied to 19 professionals of the sector who worked directly in the administration of information related to the databases mentioned. Results: The 19 professionals interviewed (100.0 %) affirmed that they used the electronic mail, the integrated chat, the cloud and other facilities that this tool offers to store and share information. Conclusions: The cloud allowed the information management related to the assistance and academic processes during the most critical period of COVID-19.

RESUMEN Introducción: La gestión de información agiliza los procesos en diferentes ambientes laborales, para lo cual se emplean sistemas capaces de reunir, organizar y vincular la información almacenada. La nube se basa en tecnologías existentes, tales como virtualización y servicios web; constituye un hito informático y se adapta a diversos escenarios y contextos. Objetivo: Contribuir a la gestión de información relacionada con las bases de datos de la reacción en cadena de la polimerasa y los procesos de acreditación en la Universidad de Ciencias Médicas de Santiago de Cuba a través de la nube Infomed Santiago. Métodos: Se realizó una investigación aplicada de desarrollo tecnológico en el Centro Provincial de Información de Ciencias Médicas, la Universidad de Ciencias Médicas y el Centro Provincial de Higiene, Epidemiología y Microbiología de Santiago de Cuba, desde junio hasta diciembre del 2021. Se aplicaron encuestas a 19 profesionales del sector, quienes laboraban directamente en la gestión de información relacionada con las bases de datos antes citadas. Resultados: Los 19 encuestados (100,0 %) afirmaron que utilizaban el correo electrónico, el chat integrado, la nube y otras facilidades que esta herramienta ofrece para almacenar y compartir información. Conclusiones: La nube permitió la gestión de información relacionada con los procesos asistenciales y académicos durante el periodo más crítico de la COVID-19.

Abstract COVID-19 has caused serious health damage, infecting millions of people and unfortunately causing the death of several ones around the world. The vaccination programs of each government have influenced in declining those rates. Nevertheless, new coronavirus mutations have emerged in different countries, which are highly contagious, causing concern with vaccination effectiveness. So far, wearing facemasks in public continues being the most effective protocol to avoid and prevent COVID-19 spread. In this context, there is a demand of automatic facemask detection services to remind people the importance of wearing them appropriately. In this work, a performance evaluation of an AIoT system to detect correct, inappropriate, and non- facemask wearing, based on two computational models: Cloud and Edge, was conducted. Having as objective to determine which model better suites a real environment (indoor and outdoor), based on: reliability of the detector algorithm, use of computational resources, and response time. Experimental results show that Edge-implementation got better performance in comparison to Cloud-implementation.

Resumen La COVID-19 ha provocado graves daños a la salud: centenas de millones de personas infectadas y varios millones de fallecidos en el mundo. Los programas de vacunación de cada Gobierno han influido en el decaimiento de estos índices, pero con la aparición de nuevas mutaciones del coronavirus más contagiosas, la preocupación sobre la efectividad de las vacunas se hace presente. Frente a esta situación el uso de mascarillas sigue siendo eficaz para prevenir la transmisión y contagio de la COVID-19. Lo que ha generado una creciente demanda de servicios de detección automática de mascarillas, que permita recordar a las personas la importancia del empleo de estas. En este trabajo se plantea un análisis del rendimiento de un sistema AIoT para la detección del uso correcto, incorrecto y sin mascarilla basado en dos modelos computacionales de Cloud y Edge, con la finalidad de determinar qué modelo se adecua mejor en un entorno real (interior y exterior) sobre la base de la confiabilidad del algoritmo, uso de recursos computacionales y tiempo de respuesta. Los resultados experimentales demuestran que el modelo computacional Edge presentó un mejor desempeño en comparación con el Cloud.

ABSTRACT The internet of things has maintained continuous growth in recent years. The potentialities of use that it shows in different fields have been widely documented. Its effective use in the field of health can bring improvements in the efficiency of medical treatments, prevention of risky situations, help raising the quality of service and provide support for decision-making. The present review explores into core aspects of its use in order to analyze trends, challenges and strengths. Document analysis was used to show the main characteristics of these systems, as well as their architecture, tools used for the management of the captured data and security mechanisms. The use of the internet of things in the health field has a great impact, improving the lives of millions of people around the world and providing great opportunities for the development of intelligent health systems.

RESUMEN La internet de las cosas ha mantenido un crecimiento continuo en los últimos años. Las potencialidades de uso que muestra en diferentes campos han sido ampliamente documentadas. Su utilización efectiva en el campo de la salud puede traer consigo mejoras en la eficiencia de los tratamientos médicos, prevenir situaciones de riesgo, ayudar a elevar la calidad del servicio y proporcionar soporte a la toma de decisiones. La presente revisión profundiza en aspectos medulares de su utilización con el objetivo de explorar las principales tendencias y desafíos relacionados con la creciente utilización de la internet de las cosas en la salud, prestando mayor atención a los aspectos relacionados con las arquitecturas utilizadas para el despliegue de sistemas de internet de las cosas en ese ámbito, el manejo de la seguridad de estos sistemas y las herramientas para el apoyo a la toma de decisiones empleadas. Mediante el análisis documental se logra mostrar las principales características de estos sistemas, así como su arquitectura, herramientas utilizadas para la gestión de los datos capturados y mecanismos de seguridad. La utilización de la internet de las cosas en el campo de la salud tiene gran impacto, mejorando la vida de millones de personas en todo el mundo y brindando grandes oportunidades para el desarrollo de sistemas inteligentes de salud.

Abstract: The evaluation problem in educational environments has been a constant, even today due to the current contingency generated by the COVID-19 pandemic, education has had to migrate to the virtual environment and the difficulty of evaluation persists. The purpose of this work is present comprehensively the efforts made in the construction of an intelligent system for the customization of evaluation activities implemented in virtual learning environments. The system architecture consists of three modules. In previous works, an architecture of a strategic learning meta-model has been designed that is divided into three layers, the intelligent layer where an ontological model was designed, the infrastructure layer has been designed with a cloud computing solution and the reactive layer that contains the architecture of the regulation model. Each of these layers corresponds to a module of the system. This work presents the results of three stages of experiments and shows a continuous increase in the approval rate trend.

RESUMO Apresenta e discute as potencialidades da evolução da cloud computing do ponto de vista da inovação e da sua adoção sob o prisma organizacional. Para tal, adota-se a inovação disruptiva como característica na origem e disseminação deste conceito computacional no mercado. A justificativa para esta escolha se dá, sobretudo, pelo seu potencial em alterar o hábito dos usuários em termos de recursos para o armazenamento de dados e informação, o que impacta a gestão da informação nas organizações. A cloud computing passou por alguns questionamentos até a sua consolidação enquanto modelo computacional, algumas destas ainda não sanadas na sua totalidade, mas fator que não tem impedido a sua disseminação, pois os benefícios se sobressaem. Na ambiência organizacional, este aspecto é percebido pela possibilidade de redução do investimento em suporte de tecnologias de informação e comunicação em detrimento de suportes convencionais, ou seja, investimento nos centros de dados próprios. Este estudo se caracteriza como exploratório e adota a pesquisa bibliográfica como método, o estudo resulta na proposta de um modelo que colige a cloud computing e a gestão da informação. O estudo evidencia que a computação em nuvem pode ser uma alternativa efetiva para a gestão da informação, desde que seja considerado o pleno conhecimento das necessidades informacionais dos usuários, sendo este um fator crítico de sucesso para a correta gestão dos recursos de dados e informações tratados e organizados na nuvem.

ABSTRACT This study aims to present and discuss potentials of the evolution of cloud computing from the point of view of innovation and its adoption from the organizational prism. For such, disruptive innovation is adopted as a characteristic in the origin and dissemination of this computational concept to the market. The potential in changing the habits of users in terms of resources for storing data and information is the main reason for this characterization, especially in the impact on information management in organizations. Cloud computing has had some questioning until it’s consolidation as a computer model, some of these have not yet entirely resolved but a factor that has not prevented its spread because the benefits stand out. In the organizational environment, this aspect is perceived by the possibility of reducing the investment in support of Information and Communication Technologies in detriment of conventional support, that is, investment in the own data center. This study is characterized as exploratory and adopts bibliographic research as a method, the study results in the proposal of a model that combines cloud computing and information management. The study shows that cloud computing can be an effective alternative for information management, provided that full knowledge of users' information needs is considered, which is a critical success factor for the correct management of data resources and information. and organized in the cloud.