Modelagem de espaços inteligentes pessoais e espaços inteligentes fixos no contexto de cenários de computação ubíqua
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2016-02-26
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Universidade Federal de Goiás
Resumo
Advances in electronics allow the creation of everyday devices with computing capabilities,
called smart objects. Smart objects assist people in carrying out a variety of tasks
and compose smart spaces. When smart spaces are confined to a certain area, they can
be referred to as fixed smart spaces. In complement of these, personal smart spaces are
composed by the smart objects a user carries with himself, hence with boundaries moving
along with his owner. However, user mobility and the increasing number of smart
spaces, fostered also by the Internet of Things (IoT) and the Web of Things (WoT), can
lead to smart spaces overlap, where a certain smart object is configured in different smart
spaces, whether fixed or personal. In addition, smart spaces are complex and difficult to
model and maintain, as, among other factors, they have to deal with different smart objects.
This thesis proposes the use of Model-Driven Engineering to enable modeling of
ubiquitous computing scenarios, considering the coexistence between fixed and personal
smart spaces. Its contributions include a metamodel for modeling scenarios composed
by personal smart spaces and fixed smart spaces, together with a language and an algorithm,
aiming at determining the access order to the resources of a ubiquitous computing
scenario. The validation of the proposal was carried out based on the results of a Systematic
Literature Review, conducted in order to identify metamodel validation methods
most commonly used by researchers within the field. Thus, scenarios were modeled with
the aid of modeling tools, which were constructed to produce models, conforming to the
proposed metamodels. An implementation in Java enabled to validate the access policy
language as well as its processing algorithm.
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VIEIRA, M. A. Modelagem de espaços inteligentes pessoais e espaços inteligentes fixos no contexto de cenários de computação ubíqua. 2016. 153 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2016.