Infraestrutura de software Continuum para a computação ubíqua: uma abordagem baseada em serviço

The latest technological advances, which introduced innovative and more affordable devices, have contributed to boost the practical application of research in the field of ubiquitous computing (ubicomp). For the development of applications in this area, we need an adequate software infrastructure. In order to do so, we have proposed Continuum, an infrastructure based on service-oriented architecture (SOA), making use of framework and middleware, and employing a redefinition of follow-me semantics. In this redefined vision, users can go anywhere carrying the data and application they want, which they can use in a seamlessly integrated fashion with the real world. In this article, we focus on the description of the service-based architecture proposed for Continuum. The proposal widens the web services standards to support the mobility of services, allowing them to be deployed, copied, or moved. Besides, the abstraction provided enables the adaptation of legacy applications as Continuum pluggable services. We conduct some experimental analysis, using case study methodology. Based on these assessments, we present lessons learned and draw the conclusion of our work.Keywords: software infrastructure, middleware, web services, service oriented architecture, ubiquitous computing.Os mais recentes avanços tecnológicos, com a introdução de dispositivos inovadores e mais baratos, contribuem para o aumento da aplicação prática das pesquisas na área de computação ubíqua (ubicomp). Para o desenvolvimento de aplicativos nessa área, é necessária uma infraestrutura de software adequada. Para atingir esse objetivo, esse artigo propõe o Continuum, uma infraestrutura baseada na arquitetura orientada a serviços (SOA), fazendo uso de framework e middleware. Além disso, a arquitetura emprega uma visão redefinida da semântica siga-me, na qual usuários podem ir aonde quiserem carregando os dados e aplicativos desejados, utilizando-os de forma integrada com o mundo real. Nesse artigo, é dado foco para a descrição da arquitetura orientada a serviços proposta para o Continuum. A proposta amplia os padrões de serviços web para suportar a mobilidade de serviços, permitindo que eles sejam instalados, copiados ou movidos. Adicionalmente, a abstração fornecida permite a adaptação de aplicações legadas como serviços plugáveis do Continuum. Algumas análises experimentais foram conduzidas, usando a metodologia de estudo de caso. Baseada nessas avaliações, algumas lições que foram aprendidas são apresentadas e algumas conclusões do trabalho são definidas.Palavras-chave: infraestrutura de software, middleware, serviços web, arquitetura orientada a serviços, computação ubíqua

An architecture for user preference-based IoT service selection in cloud computing using mobile devices for smart campus

The Internet of things refers to the set of objects that have identities and virtual personalities operating in smart spaces using intelligent interfaces to connect and communicate within social environments and user context. Interconnected devices communicating to each other or to other machines on the network have increased the number of services. The concepts of discovery, brokerage, selection and reliability are important in dynamic environments. These concepts have emerged as an important field distinguished from conventional distributed computing by its focus on large-scale resource sharing, delivery and innovative applications. The usage of Internet of Things technology across different service provisioning environments has increased the challenges associated with service selection and discovery. Although a set of terms can be used to express requirements for the desired service, a more detailed and specific user interface would make it easy for the users to express their requirements using high-level constructs. In order to address the challenge of service selection and discovery, we developed an architecture that enables a representation of user preferences and manipulates relevant descriptions of available services. To ensure that the key components of the architecture work, algorithms (content-based and collaborative filtering) derived from the architecture were proposed. The architecture was tested by selecting services using content-based as well as collaborative algorithms. The performances of the algorithms were evaluated using response time. Their effectiveness was evaluated using recall and precision. The results showed that the content-based recommender system is more effective than the collaborative filtering recommender system. Furthermore, the results showed that the content-based technique is more time-efficient than the collaborative filtering technique