2 resultados para vendor
em Universidade Federal do Rio Grande do Norte(UFRN)
Resumo:
This study was based on the analysis and understanding of the dynamics of the lower circuit of the economy and the size of the street trading in the city of Mossoro (RN). The operationalization of the theory of the two circuits of the urban economy, based on Santos (2008a) was essential to understand the street trading as part of the entire city of Mossoro. It was given emphasis on the study of the lower circuit of the economy and its coverage in the street trading in the commercial center of the city, specifically in street trading in Coronel Gurgel. The dynamics of that street reveals the different ways that the territory is used simultaneously by different social actors as pedestrians, consumers, business owners, and especially by street vendors. These vendors occupy the spaces along the streets of the city commercial center, placing their tents or stalls, especially on sidewalks, excellent strategic locations for the marketing of their products, due to the large influx of people seeking goods and services nearby. As methodological and technical procedures for gathering primary data, we opted for the use of questionnaires and interviews, with many users of the lower circuit, both consumers and vendors. The analysis of these questionnaires, along with the theoretical background, has revealed that there are several social and political conflicts related to the use of public spaces, such as sidewalks and flowerbeds, in the city commercial center, and that these conflicts are increasingly demonstrating that vendors need a space endowed with infrastructure to conduct their activities. The lack of efficiency of the government, as well as the slowness of their actions to organize a space that is able to properly fit salespersons, constitutes one of the main problems faced by these small traders who have limited financial resources and materials to get their activities through in the globalized world. At the same time, this study revealed the importance of these agents, as the last link of the urban economy, in the distribution of various consumer goods, enabling the satisfaction of some needs of the population, especially the poorer people
Resumo:
Multi-Cloud Applications are composed of services offered by multiple cloud platforms where the user/developer has full knowledge of the use of such platforms. The use of multiple cloud platforms avoids the following problems: (i) vendor lock-in, which is dependency on the application of a certain cloud platform, which is prejudicial in the case of degradation or failure of platform services, or even price increasing on service usage; (ii) degradation or failure of the application due to fluctuations in quality of service (QoS) provided by some cloud platform, or even due to a failure of any service. In multi-cloud scenario is possible to change a service in failure or with QoS problems for an equivalent of another cloud platform. So that an application can adopt the perspective multi-cloud is necessary to create mechanisms that are able to select which cloud services/platforms should be used in accordance with the requirements determined by the programmer/user. In this context, the major challenges in terms of development of such applications include questions such as: (i) the choice of which underlying services and cloud computing platforms should be used based on the defined user requirements in terms of functionality and quality (ii) the need to continually monitor the dynamic information (such as response time, availability, price, availability), related to cloud services, in addition to the wide variety of services, and (iii) the need to adapt the application if QoS violations affect user defined requirements. This PhD thesis proposes an approach for dynamic adaptation of multi-cloud applications to be applied when a service is unavailable or when the requirements set by the user/developer point out that other available multi-cloud configuration meets more efficiently. Thus, this work proposes a strategy composed of two phases. The first phase consists of the application modeling, exploring the similarities representation capacity and variability proposals in the context of the paradigm of Software Product Lines (SPL). In this phase it is used an extended feature model to specify the cloud service configuration to be used by the application (similarities) and the different possible providers for each service (variability). Furthermore, the non-functional requirements associated with cloud services are specified by properties in this model by describing dynamic information about these services. The second phase consists of an autonomic process based on MAPE-K control loop, which is responsible for selecting, optimally, a multicloud configuration that meets the established requirements, and perform the adaptation. The adaptation strategy proposed is independent of the used programming technique for performing the adaptation. In this work we implement the adaptation strategy using various programming techniques such as aspect-oriented programming, context-oriented programming and components and services oriented programming. Based on the proposed steps, we tried to assess the following: (i) the process of modeling and the specification of non-functional requirements can ensure effective monitoring of user satisfaction; (ii) if the optimal selection process presents significant gains compared to sequential approach; and (iii) which techniques have the best trade-off when compared efforts to development/modularity and performance.