Dynamic Model-based Management of Service-Oriented Infrastructure.

Models are an effective tool for systems and software design. They allow software architects to abstract from the non-relevant details. Those qualities are also useful for the technical management of networks, systems and software, such as those that compose service oriented architectures. Models can provide a set of well-defined abstractions over the distributed heterogeneous service infrastructure that enable its automated management. We propose to use the managed system as a source of dynamically generated runtime models, and decompose management processes into a composition of model transformations. We have created an autonomic service deployment and configuration architecture that obtains, analyzes, and transforms system models to apply the required actions, while being oblivious to the low-level details. An instrumentation layer automatically builds these models and interprets the planned management actions to the system. We illustrate these concepts with a distributed service update operation.

Effect of community based management in failure to thrive: randomised controlled trial

Objective: To evaluate the effectiveness of a health visitor led intervention for failure to thrive in children under 2 years old.

Alternative harvest strategies to alleviate predation bottlenecks: a bioeconomic modeling approach to inform adaptive management

Thesis (Ph.D.)--University of Washington, 2016-06

A Case Study of Polar Bear Co-Management in Alaska

Thesis (Master's)--University of Washington, 2016-06

Methods for conflict resolution in policy-based management systems

While developments in distributed object computing environments, such as the Common Object Request Broker Architecture (CORBA) [17] and the Telecommunication Intelligent Network Architecture (TINA) [16], have enabled interoperability between domains in large open distributed systems, managing the resources within such systems has become an increasingly complex task. This challenge has been considered for several years within the distributed systems management research community and policy-based management has recently emerged as a promising solution. Large evolving enterprises present a significant challenge for policy-based management partly due to the requirement to support both mutual transparency and individual autonomy between domains [2], but also because the fluidity and complexity of interactions occurring within such environments requires an ability to cope with the coexistence of multiple, potentially inconsistent policies. This paper discusses the need of providing both dynamic (run-time) and static (compile-time) conflict detection and resolution for policies in such systems and builds on our earlier conflict detection work [7, 8] to introduce the methods for conflict resolution in large open distributed systems.

The adoption of value-based management in large UK companies:a case for diffusion theory

Purpose – In the 1990s, a growing number of companies adopted value-based management (VBM) techniques in the UK. The purpose of this paper is to explore the motivations for the adoption or non-adoption of VBM for managing a business. Design/methodology/approach – An interview-based study of 37 large UK companies. Insights from diffusion theory and institutional theory are utilised to theorise these motivations. Findings – It was found that the rate of adoption of VBM in the sample companies does follow the classical S-shape. It also suggests that the supply-side of the diffusion process, most notably the role played by consultants, was an influence on many companies. This was not, however, a sufficient condition for companies to adopt the technique. The research also finds evidence of relocation diffusion, as several adopters are influenced by new officers, for example chief executive officers and finance directors, importing VBM techniques that they have used in organizations within which they have previously worked. Research limitations/implications – It is quite a small scale study and further work would be needed to develop the findings. Practical implications – Understanding and theorising the adoption of new management techniques will help understand the management of a business. Originality/value – This research adds further evidence to the value of studying management accounting, and more specifically management accounting change, in practice. It shows the developments in the adoption of a new technique and hence how a technique becomes accepted in practice.

Why value based management goes wrong

The authors introduce and describe a relatively new approach to management entitled Value Based Management which is concerned with creating long term value for shareholders by matching or exceeding their expectations. They outline what VBM is and does, describes the typical adopter of the programme and the procedures VBM initiatives take. They list some of the drawbacks including the type of people who champion VBM inside the company (who tend to come from a finance or strategic background), the consultants (who tend to be like-minded), inadequate education programmes and tendency to exclude employees from full participation. The authors conclude that while VBM has been less than spectacularly successful it would be wrong to conclude that it had failed completely. Its biggest contribution has been in reducing the incidence and frequency of reckless, value destroying decisions.

End-to-end modelling for an ecosystem approach to fisheries in the Northern Humboldt Current Ecosystem

This work represents an original contribution to the methodology for ecosystem models' development as well as the rst attempt of an end-to-end (E2E) model of the Northern Humboldt Current Ecosystem (NHCE). The main purpose of the developed model is to build a tool for ecosystem-based management and decision making, reason why the credibility of the model is essential, and this can be assessed through confrontation to data. Additionally, the NHCE exhibits a high climatic and oceanographic variability at several scales, the major source of interannual variability being the interruption of the upwelling seasonality by the El Niño Southern Oscillation, which has direct e ects on larval survival and sh recruitment success. Fishing activity can also be highly variable, depending on the abundance and accessibility of the main shery resources. This context brings the two main methodological questions addressed in this thesis, through the development of an end-to-end model coupling the high trophic level model OSMOSE to the hydrodynamics and biogeochemical model ROMS-PISCES: i) how to calibrate ecosystem models using time series data and ii) how to incorporate the impact of the interannual variability of the environment and shing. First, this thesis highlights some issues related to the confrontation of complex ecosystem models to data and proposes a methodology for a sequential multi-phases calibration of ecosystem models. We propose two criteria to classify the parameters of a model: the model dependency and the time variability of the parameters. Then, these criteria along with the availability of approximate initial estimates are used as decision rules to determine which parameters need to be estimated, and their precedence order in the sequential calibration process. Additionally, a new Evolutionary Algorithm designed for the calibration of stochastic models (e.g Individual Based Model) and optimized for maximum likelihood estimation has been developed and applied to the calibration of the OSMOSE model to time series data. The environmental variability is explicit in the model: the ROMS-PISCES model forces the OSMOSE model and drives potential bottom-up e ects up the foodweb through plankton and sh trophic interactions, as well as through changes in the spatial distribution of sh. The latter e ect was taken into account using presence/ absence species distribution models which are traditionally assessed through a confusion matrix and the statistical metrics associated to it. However, when considering the prediction of the habitat against time, the variability in the spatial distribution of the habitat can be summarized and validated using the emerging patterns from the shape of the spatial distributions. We modeled the potential habitat of the main species of the Humboldt Current Ecosystem using several sources of information ( sheries, scienti c surveys and satellite monitoring of vessels) jointly with environmental data from remote sensing and in situ observations, from 1992 to 2008. The potential habitat was predicted over the study period with monthly resolution, and the model was validated using quantitative and qualitative information of the system using a pattern oriented approach. The nal ROMS-PISCES-OSMOSE E2E ecosystem model for the NHCE was calibrated using our evolutionary algorithm and a likelihood approach to t monthly time series data of landings, abundance indices and catch at length distributions from 1992 to 2008. To conclude, some potential applications of the model for shery management are presented and their limitations and perspectives discussed.

Adopting results based management in the non-profit sector: Trócaire’s experience

The increasing emphasis on aid effectiveness, accountability and impact measurement in international development and humanitarian work has generated a requirement for high quality internal systems for the management of programmes. To help to address this requirement, Trócaire adopted Results Based Management in the 20 countries in which it works. This paper provides an overview of Trócaire’s RBM journey, including the process of embedding the new approach in the organisation, lessons learnt from this process, the subsequent benefits that are emerging at field programme level and the challenges going forward.

Knowledge-based management systems for the police force

Knowledge-Based Management Systems enable new ways to process and analyse knowledge to gain better insights to solve a problem and aid in decision making. In the police force such systems provide a solution for enhancing operations and improving client administration in terms of knowledge management. The main objectives of every police officer is to ensure the security of life and property, promote lawfulness, and avert and distinguish wrongdoing. The administration of knowledge and information is an essential part of policing, and the police ought to be proactive in directing both explicit and implicit knowledge, whilst adding to their abilities in knowledge sharing. In this paper the potential for a knowledge based system for the Mauritius police was analysed, and recommendations were also made, based on requirements captured from interviews with several long standing officers, and surveying of previous works in the area.