18 resultados para Natural language processing (Computer science) -- TFC


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This paper proposes and reports the development of an open source solution for the integrated management of Infrastructure as a Service (IaaS) cloud computing resources, through the use of a common API taxonomy, to incorporate open source and proprietary platforms. This research included two surveys on open source IaaS platforms (OpenNebula, OpenStack and CloudStack) and a proprietary platform (Parallels Automation for Cloud Infrastructure - PACI) as well as on IaaS abstraction solutions (jClouds, Libcloud and Deltacloud), followed by a thorough comparison to determine the best approach. The adopted implementation reuses the Apache Deltacloud open source abstraction framework, which relies on the development of software driver modules to interface with different IaaS platforms, and involved the development of a new Deltacloud driver for PACI. The resulting interoperable solution successfully incorporates OpenNebula, OpenStack (reuses pre-existing drivers) and PACI (includes the developed Deltacloud PACI driver) nodes and provides a Web dashboard and a Representational State Transfer (REST) interface library. The results of the exchanged data payload and time response tests performed are presented and discussed. The conclusions show that open source abstraction tools like Deltacloud allow the modular and integrated management of IaaS platforms (open source and proprietary), introduce relevant time and negligible data overheads and, as a result, can be adopted by Small and Medium-sized Enterprise (SME) cloud providers to circumvent the vendor lock-in problem whenever service response time is not critical.

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in RoboCup 2007: Robot Soccer World Cup XI

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This report describes a study based on a research and evaluation of platforms (JavaScript frameworks and libraries carried out under the discipline of Tese/Dissertação/Estágio in the Master Degree Computer Science - area of expertise in Arquitecturas Sistemas e Redes, in Instituto Superior de Engenharia do Porto (ISEP). The JavaScript language is increasingly present in the development of software and particularly software for the web environment. For this reason there is a need to investigate the issue, as the platforms that are emerging in the market have a very low level of maturity compared to existing, it is crucial to identify the main differences so that we can save time, labor and other costs in research and experimentation developers. This project aims to inform a range of platforms and existing JavaScript libraries on the market. For further investigation, a study of use cases used at this point in the market was held. To assist the work were used qualitative research methods through the existing content of research related to the area, and quantitative research methods. It was thus conducted a survey sent via email to fifty regular users of the language, platforms, and JavaScript libraries, linking the functional and non-functional characteristics of the platforms and existing use cases in the market, in order to realize what is the use of these tools in his professional life. This study allowed developers to access information that will be compared and evaluated in order to achieve a more precise evaluation of the various analyzed platforms. It was also made an evaluation of adaptation of the various platforms to the various use cases.