Social contact and trust: a study of a super diverse neighbourhood

This thesis presents an in-depth case study of a superdiverse neighbourhood in Glasgow where long-term white and ethnic minority communities reside alongside Roma migrants, asylum seekers and refugees, young professionals and other recent arrivals in traditional tenement housing. It focuses on the nature and extent of social contact and trust and on the role of context in shaping social relations. Employing the concepts of social milieu and intersectionality to identify social differences the research examines the relationships between five broad groupings of residents in the neighbourhood: Nostalgic Working Class, Scottish Asian, Liberal Homeowners, Kinship-sited Roma and Global Migrants. Ethnographic fieldwork was carried out in contexts within the neighbourhood, theorised as being potential sites for intergroup contact. Three types of interactions were examined: Group-based Interactions, Neighbour Interactions and Street Interactions. The data comprised documentary evidence, participant and direct observations, in-depth qualitative and walk-along interviews with residents and local organisations. Findings show that rather than individualising and isolating residents, superdiversity can stimulate community activism, yet there remains a preference for interaction within one’s own social milieu. The research has found that the concentration of poverty and material conditions has a more profound effect on social relations than historical diversity and the extent to which diversity is normalised within local discourses. Trust judgements in a superdiverse context may rely more on shared interests, moral outlook and assessments of the context rather than the extent of social contact. The quasi-private spaces of shared residential spaces and community activities can facilitate encounters with the potential to build trust, yet for this to occur cooperation through shared activities may not be sufficient. Interactions may need to move beyond co-presence and conviviality to increased understanding and empathy through dialogue. At an aggregate level, the extent to which superdiversity contributes to social contact and trust within the neighbourhood is strongly influenced by contextual factors and wider economic processes influencing housing tenure mix, private renting, property maintenance, residential churn and environmental conditions. Through examining different types of social contacts, the dynamics of trust as well as contextual influences, this thesis offers insights into the causal processes and factors that influence social relations at a local level.

Improving Resource Management in Virtualized Data Centers using Application Performance Models

The rapid growth of virtualized data centers and cloud hosting services is making the management of physical resources such as CPU, memory, and I/O bandwidth in data center servers increasingly important. Server management now involves dealing with multiple dissimilar applications with varying Service-Level-Agreements (SLAs) and multiple resource dimensions. The multiplicity and diversity of resources and applications are rendering administrative tasks more complex and challenging. This thesis aimed to develop a framework and techniques that would help substantially reduce data center management complexity. We specifically addressed two crucial data center operations. First, we precisely estimated capacity requirements of client virtual machines (VMs) while renting server space in cloud environment. Second, we proposed a systematic process to efficiently allocate physical resources to hosted VMs in a data center. To realize these dual objectives, accurately capturing the effects of resource allocations on application performance is vital. The benefits of accurate application performance modeling are multifold. Cloud users can size their VMs appropriately and pay only for the resources that they need; service providers can also offer a new charging model based on the VMs performance instead of their configured sizes. As a result, clients will pay exactly for the performance they are actually experiencing; on the other hand, administrators will be able to maximize their total revenue by utilizing application performance models and SLAs. This thesis made the following contributions. First, we identified resource control parameters crucial for distributing physical resources and characterizing contention for virtualized applications in a shared hosting environment. Second, we explored several modeling techniques and confirmed the suitability of two machine learning tools, Artificial Neural Network and Support Vector Machine, to accurately model the performance of virtualized applications. Moreover, we suggested and evaluated modeling optimizations necessary to improve prediction accuracy when using these modeling tools. Third, we presented an approach to optimal VM sizing by employing the performance models we created. Finally, we proposed a revenue-driven resource allocation algorithm which maximizes the SLA-generated revenue for a data center.

METODO PARA CALCULAR EL PRECIO DE LA TIERRA Y LA TASA DE RENTA A PARTIR DE LAS FORMAS DE ARRENDAMIENTO

En este artículo se presenta la aplicación del método  para calcular la tasa de renta y el espacio de la tierra. Esta aplicación contempla los métodos, las técnicas, el levantamiento de la información, la construcción de una base de datos, los sistemas de clasificación y la aplicación práctica del método de ingresos con el objeto de calcular los precios de la tierra y la tasa de valorización del capital bajo la forma de arrendamiento.SUMMARYIn this article it is presented the application of the method used to calculate the income rate and the price of land.This application contemplates the methods, techniques, the information drawing up, the construction of a data base, the procedures, the data processing and the empirical application of the income method in order to calculate the price of land and the income method in order to calculate the price of land and the capital under the renting form.