A virtual laboratory for developing and experimenting internet of things applications
The development of Internet of Things (IoT) applications has been facing important issues such as the inherent device heterogeneity in terms of capabilities, computing power, network protocols, and energy requirements. To address this challenge, IoT middleware platforms have been proposed to abst...
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| Formato: | Dissertação |
| Idioma: | pt_BR |
| Publicado em: |
Universidade Federal do Rio Grande do Norte
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| Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/29945 |
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| Resumo: | The development of Internet of Things (IoT) applications has been facing important
issues such as the inherent device heterogeneity in terms of capabilities, computing power,
network protocols, and energy requirements. To address this challenge, IoT middleware
platforms have been proposed to abstract away the specificities of such devices, promoting interoperability among them, and easing application development. Given a set of
components required for an IoT application under development, their deployment and
configuration can be done either manually or using some configuration tool. However,
setting up an environment composed of middleware platform components sometimes is
not a trivial process. This work introduces a Web-based virtual laboratory for prototyping,
configuring, and experimenting components of IoT middleware platforms for developing IoT
applications. This virtual laboratory is called FIWARE-Lab@RNP as it was instantiated
for FIWARE, an open, generic platform developed in the European Community to leverage
the development of Future Internet applications. The main contribution of FIWARELab@RNP is enabling the use of FIWARE resources in a transparent way, thus relieving
users from the need of deploying and operating a FIWARE instance on their development
environment. FIWARE-Lab@RNP provides features for easily creating, configuring, and
managing instances of FIWARE components, devices, context entities, and services while
attempting to minimize the learning curve regarding these tasks. In this work, FIWARELab@RNP has been evaluated in terms of usability and performance. On the one hand, the
results from a human-centered experiment point out that FIWARE-Lab@RNP contributes
to reduce development effort and is effective to improve user experience on the use of
FIWARE services. On the other hand, the results from three computational experiments
have shown that FIWARE-Lab@RNP is scalable to support well high workloads and
efficient to handle a significant number of concurrent requests. |
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