Maturidade de plataformas SOA Open Source vs proprietários

O bom funcionamento de uma empresa passa pela coordenação dos seus vários elementos, pela fluidez das suas operações diárias, pelo desempenho dos seus recursos, tanto humanos como materiais, e da interacção dos vários sistemas que a compõem. As tecnologias empresariais sentiram um desenvolvimento contínuo após a sua aparição, desde o processo básico, para gestão de processos de negócios (BPM), para plataformas de recursos empresariais (ERP) modernos como o sistema proprietário SAP ou Oracle, para conceitos mais gerais como SOA e cloud, baseados em standards abertos. As novas tecnologias apresentam novos canais de trânsito de informação mais rápidos e eficientes, formas de automatizar e acompanhar processos de negócio e vários tipos de infra-estruturas que podem ser utilizadas de forma a tornar a empresa mais produtiva e flexível. As soluções comerciais existentes permitem realizar estes objectivos mas os seus custos de aquisição podem revelar-se demasiado elevados para algumas empresas ou organizações, que arriscam de não se adaptar às mudanças do negócio. Ao mesmo tempo, software livre está a ganhar popularidade mas existem sempre alguns preconceitos sobre a qualidade e maturidade deste tipo de software. O objectivo deste trabalho é apresentar SOA, os principais produtos SOA comerciais e open source e realizar uma comparação entre as duas categorias para verificar o nível de maturidade do SOA open source em relação às soluções SOA proprietárias.

Construction management contracts: law and practice

The context of construction management (CM) reveals that this method of procurement is as much a management philosophy as a contract structure. It is important to consider legal and contractual issues in this context. The interplay between management and law is complex and often misunderstood. Before considering specific issues, the use of contractual remedies in business agreements is discussed. In addition, the extent to which standardising a form of contract detracts or contributes to the success of projects is also considered. The dearth of judicial decisions, and the lack of a standard form, render it difficult to be specific about legal issues. Therefore, the main discussion of legal issues is centred around a recently completed research project which involved eliciting the views of a cross-section of experienced construction management clients, consultants and trade contractors. These interviews are used as the basis for highlighting some of the most important legal points to consider when setting up CM projects. The interviews revealed that the advantage of CM is the proximity of the client to the trade contractors and the disadvantage is that it depends on a high degree of professionalism and experience; qualities which are unfortunately difficult to find in the UK construction industry.

The seasonal forecast of electricity demand: A hierarchical Bayesian model with climatological weather generator

In this paper we focus on the one year ahead prediction of the electricity peak-demand daily trajectory during the winter season in Central England and Wales. We define a Bayesian hierarchical model for predicting the winter trajectories and present results based on the past observed weather. Thanks to the flexibility of the Bayesian approach, we are able to produce the marginal posterior distributions of all the predictands of interest. This is a fundamental progress with respect to the classical methods. The results are encouraging in both skill and representation of uncertainty. Further extensions are straightforward at least in principle. The main two of those consist in conditioning the weather generator model with respect to additional information like the knowledge of the first part of the winter and/or the seasonal weather forecast. Copyright (C) 2006 John Wiley & Sons, Ltd.

Interdependency and care over the lifecourse

Interdependency and Care over the Lifecourse draws upon theories of time and space to consider how informal care is woven into the fabric of everyday lives and is shaped by social and economic inequalities and opportunities. The book comprises three parts. The first explores contrasting social and economic contexts of informal care in different parts of the world. The second looks at different themes and dynamics of caring, using fictional vignettes of illness and health, child care, elderly care and communities of care. The book examines the significance to practices of care throughout the lifecourse of: understandings and expectations of care emotional exchanges involved in care memories and anticipations of giving and receiving care the social nature of the spaces and places in which care is carried out the practical time-space scheduling necessary to caring activities. Finally the authors critically examine how the frameworks of caringscapes and carescapes might be used in research, policy and practice. A working example is provided. This book will be of interest to students and researchers of care work, health and social care, geography, sociology of the family and social policy as well as those in business and policy communities trying to gain an understanding of how work and informal care interweave

The seasonal forecast of electricity demand: A hierarchical Bayesian model with climatological weather generator

In this paper we focus on the one year ahead prediction of the electricity peak-demand daily trajectory during the winter season in Central England and Wales. We define a Bayesian hierarchical model for predicting the winter trajectories and present results based on the past observed weather. Thanks to the flexibility of the Bayesian approach, we are able to produce the marginal posterior distributions of all the predictands of interest. This is a fundamental progress with respect to the classical methods. The results are encouraging in both skill and representation of uncertainty. Further extensions are straightforward at least in principle. The main two of those consist in conditioning the weather generator model with respect to additional information like the knowledge of the first part of the winter and/or the seasonal weather forecast. Copyright (C) 2006 John Wiley & Sons, Ltd.