Private cloud computing platforms. Analysis and implementation in a Higher Education Institution

The constant evolution of the Internet and its increasing use and subsequent entailing to private and public activities, resulting in a strong impact on their survival, originates an emerging technology. Through cloud computing, it is possible to abstract users from the lower layers to the business, focusing only on what is most important to manage and with the advantage of being able to grow (or degrades) resources as needed. The paradigm of cloud arises from the necessity of optimization of IT resources evolving in an emergent and rapidly expanding and technology. In this regard, after a study of the most common cloud platforms and the tactic of the current implementation of the technologies applied at the Institute of Biomedical Sciences of Abel Salazar and Faculty of Pharmacy of Oporto University a proposed evolution is suggested in order adorn certain requirements in the context of cloud computing.atividades privadas e públicas, traduzindo-se num forte impacto à sua sobrevivência, origina uma tecnologia emergente. Através de cloud computing, é possível abstrair os utilizadores das camadas inferiores ao negócio, focalizando apenas no que realmente é mais importante de gerir e ainda com a vantagem de poder crescer (ou diminuir) os recursos conforme as necessidades correntes. Os recursos das TI evoluíram consideravelmente na última década tendo despoletado toda uma nova consciencialização de otimização, originando o paradigma da computação em nuvem. Neste sentido, após um estudo das plataformas de cloud mais comuns, é abordado um case study das tecnologias implementadas no Instituto de Ciências Biomédicas de Abel Salazar e Faculdade de Farmácia da Universidade do Porto seguido de uma sugestão de implementação de algumas plataformas de cloud a fim de adereçar determinados requisitos do case study. Distribuições produzidas especificamente para a implementação de nuvens privadas encontram-se hoje em dia disponíveis e cujas configurações estão amplamente simplificadas. No entanto para que seja viável uma arquitetura bem implementada, quer a nível de hardware, rede, segurança eficiência e eficácia, é pertinente considerar a infraestrutura necessária como um todo. Um estudo multidisciplinar aprofundado sobre todos os temas adjacentes a esta tecnologia está intrinsecamente ligado à arquitetura de um sistema de nuvem, sob pena de se obter um sistema deficitário. É necessário um olhar mais abrangente, para além do equipamento necessário e do software utilizado, que pondere efetivamente os custos de implementação tendo em conta também os recursos humanos especializados nas diversas áreas envolvidas. A construção de um novo centro de dados, fruto da junção dos edifícios do Instituto de Ciências Biomédicas de Abel Salazar e da Faculdade de Farmácia da Universidade do Porto, possibilitou a partilha de recursos tecnológicos. Tendo em conta a infraestrutura existente, completamente escalável, e assente numa abordagem de crescimento e de virtualização, considera-se a implementação de uma nuvem privada já que os recursos existentes são perfeitamente adaptáveis a esta realidade emergente. A tecnologia de virtualização adotada, bem como o respetivo hardware (armazenamento e processamento) foi pensado numa implementação baseada no XEN Server, e considerando que existe heterogeneidade no parque dos servidores e tendo em conta a ideologia das tecnologias disponíveis (aberta e proprietária) é estudada uma abordagem distinta à implementação existente baseada na Microsoft. Dada a natureza da instituição, e dependendo dos recursos necessários e abordagem a tomar, no desenvolvimento de uma nuvem privada, poderá ser levado em conta a integração com nuvens públicas (por exemplo Google Apps), sendo que as possíveis soluções a adotar poderão ser baseadas em tecnologias abertas e/ou pagas (ou ambas). Este trabalho tem como objetivo, em última instância, o desígnio de verificar as tecnologias utilizadas atualmente e identificar potenciais soluções para que em conjunto com a infraestrutura atual, disponibilizar um serviço de nuvem privada. O trabalho inicia-se com uma explicação concisa do conceito de nuvem, comparando com outras formas de computação, expondo as suas características, revendo a sua história, explicando as suas camadas, modelos de implementação e arquiteturas. Em seguida, no capítulo do estado da arte, são abordadas as principais plataformas de computação em nuvem focando o Microsoft Azure, Google Apps, Cloud Foundry, Delta Cloud e Open Stack. São também abordadas outras plataformas que emergem fornecendo assim um olhar mais amplo para as soluções tecnológicas atuais disponíveis. Após o estado da arte, é abordado um estudo de um caso em particular, a implementação do cenário de TI do novo edifício das duas unidades orgânicas da Universidade do Porto, o Instituto de Ciências Biomédicas Abel Salazar e a Faculdade de Farmácia e sua arquitetura de nuvem privada utilizando recursos partilhados. O estudo do caso é seguido de uma sugestão de evolução da implementação, utilizando tecnologias de computação em nuvem de forma a cumprir com os requisitos necessários e integrar e agilizar a infraestrutura existente

Lifelong personal health data and application software via virtual machines in the cloud

Personal Health Records (PHRs) should remain the lifelong property of patients, who should be able to show them conveniently and securely to selected caregivers and institutions. In this paper, we present MyPHRMachines, a cloud-based PHR system taking a radically new architectural solution to health record portability. In MyPHRMachines, health-related data and the application software to view and/or analyze it are separately deployed in the PHR system. After uploading their medical data to MyPHRMachines, patients can access them again from remote virtual machines that contain the right software to visualize and analyze them without any need for conversion. Patients can share their remote virtual machine session with selected caregivers, who will need only a Web browser to access the pre-loaded fragments of their lifelong PHR. We discuss a prototype of MyPHRMachines applied to two use cases, i.e., radiology image sharing and personalized medicine

Exploring Strategies that IT Leaders Use to Adopt Cloud Computing

Information Technology (IT) leaders must leverage cloud computing to maintain competitive advantage. Evidence suggests that IT leaders who have leveraged cloud computing in small and medium sized organizations have saved an average of $1 million in IT services for their organizations. The purpose of this qualitative single case study was to explore strategies that IT leaders use to adopt cloud computing for their organizations. The target population consisted of 15 IT leaders who had experience with designing and deploying cloud computing solutions at their organization in Long Island, New York within the past 2 years. The conceptual framework of this research project was the disruptive innovation theory. Semistructured interviews were conducted and company documents were gathered. Data were inductively analyzed for emergent themes, then subjected to member checking to ensure the trustworthiness of findings. Four main themes emerged from the data: the essential elements for strategies to adopt cloud computing; most effective strategies; leadership essentials; and barriers, critical factors, and ineffective strategies affecting adoption of cloud computing. These findings may contribute to social change by providing insights to IT leaders in small and medium sized organizations to save money while gaining competitive advantage and ensure sustainable business growth that could enhance community standards of living

Medical data processing and analysis for remote health and activities monitoring

Recent developments in sensor technology, wearable computing, Internet of Things (IoT), and wireless communication have given rise to research in ubiquitous healthcare and remote monitoring of human\u2019s health and activities. Health monitoring systems involve processing and analysis of data retrieved from smartphones, smart watches, smart bracelets, as well as various sensors and wearable devices. Such systems enable continuous monitoring of patients psychological and health conditions by sensing and transmitting measurements such as heart rate, electrocardiogram, body temperature, respiratory rate, chest sounds, or blood pressure. Pervasive healthcare, as a relevant application domain in this context, aims at revolutionizing the delivery of medical services through a medical assistive environment and facilitates the independent living of patients. In this chapter, we discuss (1) data collection, fusion, ownership and privacy issues; (2) models, technologies and solutions for medical data processing and analysis; (3) big medical data analytics for remote health monitoring; (4) research challenges and opportunities in medical data analytics; (5) examples of case studies and practical solutions

2015-2016 Lindenwood University Accelerated Degree Program Course Catalog

Lindenwood University Accelerated Degree Program Course Cataloghttps://digitalcommons.lindenwood.edu/catalogs/1175/thumbnail.jp

Research on Building Information Model (BIM) Technology

All above this paper is to give the BIM scientific definition, describes the BIM six technical characteristics and points out the essence of BIM Technology, creatively put forward the mature styling BIM seven technical standards, depicting the BIM Technology Development Tools, and other technical fusion development realize the feasibility of the technical route, show the BIM building life cycle management strategies and methods based on, from the two dimensions of qualitative and quantitative, symbiosis is the example of the fused BIM Technology and energy consumption analysis tool. In the realization of green, smart and sustainable design BIM technology advantages to focus attention, the article finally, the BIM technology in China's engineering practice in the application of the prospects for the future

Advances in Grid Computing

This book approaches the grid computing with a perspective on the latest achievements in the field, providing an insight into the current research trends and advances, and presenting a large range of innovative research papers. The topics covered in this book include resource and data management, grid architectures and development, and grid-enabled applications. New ideas employing heuristic methods from swarm intelligence or genetic algorithm and quantum encryption are considered in order to explain two main aspects of grid computing: resource management and data management. The book addresses also some aspects of grid computing that regard architecture and development, and includes a diverse range of applications for grid computing, including possible human grid computing system, simulation of the fusion reaction, ubiquitous healthcare service provisioning and complex water systems

2016-2017 Lindenwood University Accelerated Degree Program Course Catalog

Lindenwood University Accelerated Degree Program Course Cataloghttps://digitalcommons.lindenwood.edu/catalogs/1178/thumbnail.jp