3 research outputs found

    Desarrollo de servicios en ngn: caso emcali – telecomunicaciones

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    Las Empresas Municipales de Cali – EMCALI adquirieron recientemente una plataforma de red multiservicios ZTE (Zhong Xing Telecommunication Equipment Company Limited) que permite la oferta de servicios integrados de voz, datos y video, con altos estándar es de calidad y que soporta la arquitectura OSA/Parlay para la construcción de servicios, acordes con las tendencias mundiales actuales de convergencia propiciadas por la aparición de modelos de Redes de Nueva Generación o NGN. Para hacer eficiente la creación de servicios sobre esta plataforma es necesario definir un ambiente de desarrollo propicio que utilice las herramientas y tecnologías adecuadas, y que permita el desarrollo rápido de aplicaciones telemáticas, ya sea por EMCALI o por terceros

    Implementation of an automatic deployment mechanism of convergent services on JSLEE environment

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    En la actualidad los operadores de telecomunicaciones han incrementado el uso de recursos provenientes de diferentes fuentes, tales como facilidades de la web, contenidos generados por diversos proveedores, aplicaciones y servicios de terceros. Esta convergencia de servicios, aplicaciones y dispositivos ha propiciado en el operador telco la necesidad de contar con entornos para la entrega de servicios y de estrategias que faciliten el rápido despliegue de servicios convergentes [CS]. En este sentido, el presente artículo propone un mecanismo de despliegue de CS en entornos JSLEE, el cual, de manera automática, ejecuta los procesos de activación, configuración, selección e instalación del servicio. Con el fin de evaluar experimentalmente esta aproximación –y presentar sus aportes–, se realizó una prueba de desempeño del algoritmo propuesto.Nowadays, telecom operators are drawing on resources from web, content provider and third party applications. This convergence on services, applications and devices has carried to Telco operator to consider convergent service [CS] provision platforms that making deployment process faster and easier. Hence, this paper proposes a CS deployment mechanism in JSLEE environments which executes in an automatic way the activation, configuration, selection and installation process on the service. In order to experimentally assess our mechanism, we made a performance test with intent to illustrate ours contributions

    Digital transformation in the manufacturing industry : business models and smart service systems

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    The digital transformation enables innovative business models and smart services, i.e. individual services that are based on data analyses in real-time as well as information and communications technology. Smart services are not only a theoretical construct but are also highly relevant in practice. Nine research questions are answered, all related to aspects of smart services and corresponding business models. The dissertation proceeds from a general overview, over the topic of installed base management as precondition for many smart services in the manufacturing industry, towards exemplary applications in form of predictive maintenance activities. A comprehensive overview is provided about smart service research and research gaps are presented that are not yet closed. It is shown how a business model can be developed in practice. A closer look is taken on installed base management. Installed base data combined with condition monitoring data leads to digital twins, i.e. dynamic models of machines including all components, their current conditions, applications and interaction with the environment. Design principles for an information architecture for installed base management and its application within a use case in the manufacturing industry indicate how digital twins can be structured. In this context, predictive maintenance services are taken for the purpose of concretization. It is looked at state oriented maintenance planning and optimized spare parts inventory as exemplary approaches for smart services that contribute to high machine availability. Taxonomy of predictive maintenance business models shows their diversity. It is viewed on the named topics both from theoretical and practical viewpoints, focusing on the manufacturing industry. Established research methods are used to ensure academic rigor. Practical problems are considered to guarantee practical relevance. A research project as background and the resulting collaboration with different experts from several companies also contribute to that. The dissertation provides a comprehensive overview of smart service topics and innovative business models for the manufacturing industry, enabled by the digital transformation. It contributes to a better understanding of smart services in theory and practice and emphasizes the importance of innovative business models in the manufacturing industry
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