Computational Grids are large infrastructures composed of several components such as clusters, or massively parallel machines, generally spread across a country or the world, linked together through some network such as Internet, and allowing a transparent access to any resource. Grids have become unavoidable for a large part of the scientific community requiring computational power such as high-energy physics, bioinformatics or earth observation. Large projects are emerging, often at an international level, but even if Grids are on the way of being efficient and user-friendly systems, computer scientists and engineers still have a huge amount of work to do in order to improve their efficiency. Amongst a large number of problems to solve or to improve upon, the problem of scheduling the work and balancing the load is of first importance. <p> This work concentrates on the way the work is dispatched on such systems, and mainly on how the first level of scheduling – generally name brokering, or meta-sheduling – is performed. We deeply analyze the behavior of popular strategies, compare their efficiency, and propose a new very efficient brokering policy providing notable performances, attested by the large number of simulations we performed and provided in the document. <p> The work is mainly split in two parts. After introducing the mathematical framework on which the following of the manuscript is based, we study systems where the grid brokering is done without any feed-back information, i.e. without knowing the current state of the clusters when the resource broker – the grid component receiving jobs from clients and performing the brokering – makes its decision. We show here how a computational grid behaves if the brokering is done is such a way that each cluster receives a quantity of work proportional to its computational capacity. <p> The second part of this work is rather independent from the first one, and consists in the presentation of a brokering strategy, based on Whittle's indices, trying to minimize as much as possible the average sojourn time of jobs. We show how efficient the proposed strategy is for computational grids, compared to the ones popular in production systems. We also show its robustness to several parameter changes, and provide several very efficient algorithms allowing to make the required computations for this index policy. We finally extend our model in several directions.

The aim of this thesis is to adress the problem of capability brokering. A capability-brokering agent recieves capability advertisements from problem-solving agents and problem descriptions from problem-holding agents. The amin task for the broker is to find problem-solving agents that have the capabilities to address problems described to the broker by a problem-holding agent. Capability brokering poses two problems: for advertisements, and matching problems and capabilities, to find capable problem-solvers. For the representation part of the problem, there have been a number of representations in AI that address similar issues. We review various logical representations, action representations, and representations for models of problem solving and conclude that, while all of these areas have some positive features for the representation of capabilities, they also all have serious drawbacks. We describe a new capability description language, CDL, which shares the positive features of previous languages while avoiding their drawbacks. CDL is a decoupled action representation into which arbitrary state representations can be plugged, resulting in the expressiveness and flexibility needed for capability brokering. Reasoning over capability descriptions takes place on two levels. The outer level deals with agent communication and we have devloped the Knowledge Query and Manipulation Language (KQML) here. At the inner level the main task is to decide whether a capability description subsumes a problem description. In CDL thee subsumtion relation for achievable objectives is defined in terms of the logical entailment relation betwenn sentences in the state language used within CDL. The definition of subsumption for performable tasks in turn is based on this definition for achievable objectives. We describe algoritms in this thesis which have all been implemented and incorporated into he Java Agent Template where they proved sufficient to operationalise anumber of example scenarios. The two most important featues of CDL are its expressiveness and its flexibility. By expressiveness we mean the ability to express more than is possible in other representations. By flexibility we mean the possibility to delay decisions regarding the compromises that have to be made to knowledge representation time. The scenarions we ahve implemted illustrate the importance of the features and we have shown in this thesis that CDL indeed possess thease features. Thus, CDL is an expressive and flexible capability description language that can be used to address the problem of capability brokering.

Obtaining customer knowledge represents a key task across all firms given its importance for potential competitive advantage, improving service quality and achieving long-term relationships with agents. However, despite the fact that the interaction between customers and frontline employees during service encounters is considered a valuable source of customer knowledge, our understanding of the role of frontline employees as brokers in this respect remains embryonic. The purpose and motivation of this research are to explore the factors-namely, enablers and barriers-that influence frontline employees' motivation to serve as knowledge brokers. The process through which knowledge brokers transfer customer knowledge during service encounters is also considered important. This study further contributes to the theory of knowledge management by formulating a valid conceptual framework that illustrates the process of knowledge-brokering during these service encounters. This thesis adopted a qualitative research approach using an in-depth multiple case study analysis. In total, 30 semi-structured interviews with different informants (i.e. managers and employees) from three top commercial banks in Jordan were undertaken. In addition, other data sources, including documents and observations, were also informed the primary data collection. Contextually, Jordan's service-oriented economy combined with its developing nature provided a rich research environment for exploring these issues. The study reveals that frontline employees engage in knowledge-brokering during service encounters transfer through three types of customer knowledge, namely, knowledge about customers, knowledge for customers, and knowledge from customers. Furthermore, the main findings demonstrate four critical sets of factors facilitating or impeding knowledge-brokering during these events, i.e.; organisational-level factors (e.g. organisational culture, organisational structure, and organisational support), individual-level factors (e.g. job experience, prior customer knowledge, ability to understand customer knowledge, self-efficacy, and workload), technological-level factors (e.g. bank information system and a lack of a customer-relationship management system) and knowledge-level factors (e.g. tacit or explicit). It was also found that the process of knowledge-brokering during service encounters is accomplished in two ways: knowledge-brokering for the customer and knowledge-brokering for the organisation. This study also reports a set of managerial implications that provide a better understanding of the influential factors inherent in establishing and seeking to succeed in knowledge-brokering during the course of frontline bank employees' interactions during service encounters. Keywords: knowledge-brokering, frontline employees, customer knowledge, service encounters.

The increasing needs for computational power in areas such as weather simulation, genomics or Internet applications have led to sharing of geographically distributed and heterogeneous resources from commercial data centers and scientific institutions. Research in the areas of utility, grid and cloud computing, together with improvements in network and hardware virtualization has resulted in methods to locate and use resources to rapidly provision virtual environments in a flexible manner, while lowering costs for consumers and providers. However, there is still a lack of methodologies to enable efficient and seamless sharing of resources among institutions. In this work, we concentrate in the problem of executing parallel scientific applications across distributed resources belonging to separate organizations. Our approach can be divided in three main points. First, we define and implement an interoperable grid protocol to distribute job workloads among partners with different middleware and execution resources. Second, we research and implement different policies for virtual resource provisioning and job-to-resource allocation, taking advantage of their cooperation to improve execution cost and performance. Third, we explore the consequences of on-demand provisioning and allocation in the problem of site-selection for the execution of parallel workloads, and propose new strategies to reduce job slowdown and overall cost.

This project documents my efforts to publish STS- and gender theory-informed articles in engineering education journals. It analyzes the processes of writing and revising three articles submitted to three different journals, aiming to shed light on the field of engineering education, gender research therein, and contribute to feminist science studies literature on the challenges and opportunities of interdisciplinary work across women's studies and STEM fields. Building upon Wenger's concept of brokering, I analyze how I brought previously underexplored STS and feminist theory literature into engineering education journals. In producing this dissertation, I aim to illuminate some of the efforts and challenges of bringing STS and Women's Studies (WS) topics into engineering education journals – thus producing an account of brokering practices and an example of scalable scholarship. The first chapter introduces engineering education research (EER) as a field of inquiry, situates my project with respect to current feminist science studies, summarizes the framework of brokering that informs my analyses, and describes my methodology. The second chapter describes my initial attempts at brokering by identifying and bridging differences and the preliminary brokering practices that emerged through writing and revising the first of my three articles. It discusses an article published in Journal of Engineering Education that analyzes the uses of feminist theory in EER and argues that further engagement with a broader range of feminist theories could benefit EER. The third chapter describes how some of these practices were reinforced, but also supplemented, while writing and revising the second article. It discusses an article published in International Journal of Engineering Education that analyzes problematizations of underrepresentation in EER and argues that further reflection upon and formal discussion of how underrepresentation is framed could benefit EER. The forth chapter describes how the established brokering practices guided writing the third article, making the process easier as I had become more comfortable with the requirements and challenges of brokering. It discusses an article submitted to European Journal of Engineering Education that analyzes feminist research methodologies in the context of EER, using data from interviews with feminist engineering educators. The fifth chapter concludes by summarizing the brokering practices and discussing their respective challenges, discussing the implications of this project for STS and WS, and, finally, by discussing other implications for peer review engineering education. The Appendix contains aims, scope, author guidelines, and review criteria for the three journals. Chapters 2, 3, and 4 each begin with a narrative recounting of the practices of brokering that went into producing and revising each article. The narratives describe processes of writing and preparing to submit the articles, reviews received, and subsequent revision processes. The published or submitted articles appear after the brokering narrative. / Ph. D.

The study investigated the experience of language brokering in highly proficient Chinese-English bilinguals where 50% of them were language brokers. Essentially, language brokering as a phenomenon is the activity of informal translation to facilitate communication between persons and languages. Predominantly from first- and second-generation immigrant households, brokers take on many different settings and materials to achieve these informal translation activities and tasks. It has been shown in previous studies, that brokers tend to be more agile and dynamic across languages. The present study used counterpart idioms to test language brokers and non-brokers recording their accuracy. The counterpart idiom judgment task tested idiom type (decomposability and familiarity) in both English and Chinese language directions [e.g., English direction “kill two birds with one stone”, answer “一石二鸟”- pin yin: yī shí èr niǎo (figurative meaning in both English and Chinese – “to succeed in achieving two things in a single action”)]. Findings showed that brokers similarly scored in decomposable idioms (D) and non-decomposable (ND) particularly in Chinese. Non-brokers showed significantly differently in both decomposable (D) and non-decomposable (ND) idioms where decomposable idioms (D) scored greater than non-decomposable (ND) in Chinese. Both groups responded more accurately in D than ND in English. Overall, brokers had a higher accuracy than non-brokers and responded more similarly across languages, idiom types (decomposable and non-decomposable), and familiar and unfamiliar idioms. / Thesis / Master of Science (MSc)

The Front End of Innovation (FEI) is the early phase of the Product Development Process, responsible for the concept generation and an important driver of innovation success. The FEI is characterized by roles\' dynamism, ambiguity, and uncertainty. Several authors divide the FEI into other sub-phases in order to organize its activities, roles, and understand the function of each role. Despite the growing research about the FEI in recent years, there is a need for further research on the theme to better understand the dynamics and help to reduce the uncertainty in the critical concept phase. The formal processes designed for the front end are insufficient, the rules and roles are not fully described, and it is necessary to balance the interactions between the activities in the FEI to get a better-structured New Product Development - NPD - later. The main FEI models developed at the literature have discussed some key roles such marketing, engineering, customers, but they do not discussed the role of design, which is critical in creative activities which, in turn, are the nature of the new product development process. The literature also has not discussed the external integration in the FEI, that is, how the Brand Owners integrate the partners, especially the suppliers and design agencies, in this critical and uncertain phase. To tackle this issue, this research aims to examine the FEI in a dynamic industry, examining the integration of roles in an iterative process. The objective of this research is to identify the roles that play in the Front End of Innovation and the mechanisms of integration, whether internal through cross-functional teams; or external through interfirms integration. The main question that guided this research is \"What roles are involved in each FEI activity and what are the mechanism that integrate these roles in the FEI?\". This is qualitative and exploratory research, based on multiple-cases-studies. For this study, the packaging industry was selected because of its value chain in the concept phase, which has a complex set of relationships among its parties, Brand Owner, Design Agencies and Packaging Producers. The consumers buy the product by the performance of the same and also by the packaging. Packaging is considered a second product at the point of sale and a vital buying decision factor. Brand Owners understand that they need to integrate suppliers into the FEI to assist them in identifying opportunities, ideation, and conceptualization. Five brand owners were interviewed, and the FEI has been divided into five activities: Opportunity Identifications and Analysis, Idea Generation, Idea Enrichment, Idea Selection, and Concept Development. / O Front End de Inovação (FEI) é a fase inicial do processo de desenvolvimento de produtos, responsável pela geração de conceitos e um importante motor de sucesso na inovação. O FEI caracteriza-se pelo dinamismo, a ambiguidade e a incerteza dos papéis. Vários autores dividem o FEI em outras subfases, a fim de organizar suas atividades, papéis e compreender a função de cada função. Apesar da crescente pesquisa sobre o FEI nos últimos anos, há necessidade de novas pesquisas sobre o assunto para entender melhor a dinâmica e ajudar a reduzir a incerteza na fase conceitual crítica. Os processos formais projetados para o front-end são insuficientes, os papéis e as regras e não são totalmente descritos e é necessário equilibrar as interações entre as atividades no FEI para obter um melhor estruturado Desenvolvimento de Novos Produtos - NPD - depois. Os principais modelos de FEI desenvolvidos na literatura discutem alguns papéis fundamentais como marketing, engenharia, consumidores, mas não discutem o papel do design, crítico nas atividades criativas, que, por sua vez, são a natureza do processo de desenvolvimento de novos produtos. A literatura também não tem discutido a integração externa no FEI, ou seja, como os clientes integram os parceiros, especialmente os fornecedores e agências de design, nesta fase crítica e incerta. Para abordar esta questão, esta pesquisa visa examinar o FEI em uma indústria dinâmica, examinando a integração de papéis em um processo iterativo. O objetivo desta pesquisa é identificar os papéis que desempenham no Front End de Inovação e os mecanismos de integração, sejam eles internos através de equipes multifuncionais; ou externos através da integração entre firmas. A principal questão que guiou esta pesquisa é \"Quais papéis estão envolvidas em cada atividade do FEI e quais são os mecanismos que integram estes papéis no FEI?\" Trata-se de uma pesquisa qualitativa e exploratória, baseada em estudos de casos múltiplos. Para este estudo, o setor de embalagens foi selecionado por sua cadeia de valor na fase conceitual, que possui um conjunto complexo de relacionamentos entre suas partes, as Indústrias de Bens de Consumo, as Agências de Design e os Produtores de Embalagens. Os consumidores compram o produto pela performance do mesmo e também pela embalagem. A embalagem é considerada um segundo produto no ponto de venda e um fator de decisão de compra vital. As Indústrias de Bens de Consumo entendem que precisam integrar fornecedores no FEI para ajudá-las a identificar oportunidades, ideação e conceituação. Foram entrevistados cinco Indústrias de Bens de Consumo e o FEI foi dividido em cinco atividades: Identificações e Análises de Oportunidades, Geração de Ideias, Enriquecimento de Ideias, Seleção de Ideias e Desenvolvimento de Conceitos.

Syfte:                           Syftet är att analysera intermediärens funktion i en svensk kontext för att öka kunskapen kring vilka roller en intermediär kan tillskrivas och varför de existerar. Syftet är vidare att analysera huruvida ett förtroende gentemot intermediären förelåg och vad detta förtroende baserades på. Detta för att skapa ett bidrag till befintlig forskning och öka kunskapen kring förtroendeskapande gentemot intermediärer.     Metod: Fallstudie av Stiftelsen Flemingsberg Science och dess projekt Kraftcentrum Flemingsberg. Semi-strukturerade intervjuer med respondenter vilka varit involverade i projekt drivna av Kraftcentrum Flemingsberg.   Teori Transaktionskostnadsteori, strukturella hål, kunskapsöverföring, medling och förtroende.                                  Slutsatser                  Intermediärerna fyllde en funktion utöver de traditionella ”brokering” och ”knowledge brokering” funktionerna genom att de även fungerade som operativa projektledare och stöd. Förtroende existerade i ett tidigt stadie och baserades på intermediärens kompetens och meriter.  Vidare baserades förtroendet även på organisationen vilken intermediären representerade och förmedlades genom, där organisationens finansiär och syfte även var betydelsefullt.

The purposes of this study were to identify the problems and issues encountered in the development of an educational information and counseling brokering service for adults and to determine their relative significance to the success of an educational brokering service. To accomplish this, the relevant developmental issues were identified by a search of the literature. These were sent to a consultant of the National Center for Educational Brokering who selected forty issues and problems as salient. These statements were formulated into a questionnaire to determine their significance in each stage of development. The initial questionnaire was submitted to four additional consultants for recommendations. The questionnaires were then mailed to the directors of 135 educational brokering centers listed in the Directory of the National Center for Educational Brokering. Based on the findings of the study, eleven issues were considered very significant by the total population of respondents. The three most significant issues were: flexibility and responsiveness in service, maintaining clarity of purpose while attempting to meet diverse needs, and insuring continuing financial viability.

The Front End of Innovation (FEI) is the early phase of the Product Development Process, responsible for the concept generation and an important driver of innovation success. The FEI is characterized by roles\' dynamism, ambiguity, and uncertainty. Several authors divide the FEI into other sub-phases in order to organize its activities, roles, and understand the function of each role. Despite the growing research about the FEI in recent years, there is a need for further research on the theme to better understand the dynamics and help to reduce the uncertainty in the critical concept phase. The formal processes designed for the front end are insufficient, the rules and roles are not fully described, and it is necessary to balance the interactions between the activities in the FEI to get a better-structured New Product Development - NPD - later. The main FEI models developed at the literature have discussed some key roles such marketing, engineering, customers, but they do not discussed the role of design, which is critical in creative activities which, in turn, are the nature of the new product development process. The literature also has not discussed the external integration in the FEI, that is, how the Brand Owners integrate the partners, especially the suppliers and design agencies, in this critical and uncertain phase. To tackle this issue, this research aims to examine the FEI in a dynamic industry, examining the integration of roles in an iterative process. The objective of this research is to identify the roles that play in the Front End of Innovation and the mechanisms of integration, whether internal through cross-functional teams; or external through interfirms integration. The main question that guided this research is \"What roles are involved in each FEI activity and what are the mechanism that integrate these roles in the FEI?\". This is qualitative and exploratory research, based on multiple-cases-studies. For this study, the packaging industry was selected because of its value chain in the concept phase, which has a complex set of relationships among its parties, Brand Owner, Design Agencies and Packaging Producers. The consumers buy the product by the performance of the same and also by the packaging. Packaging is considered a second product at the point of sale and a vital buying decision factor. Brand Owners understand that they need to integrate suppliers into the FEI to assist them in identifying opportunities, ideation, and conceptualization. Five brand owners were interviewed, and the FEI has been divided into five activities: Opportunity Identifications and Analysis, Idea Generation, Idea Enrichment, Idea Selection, and Concept Development. / O Front End de Inovação (FEI) é a fase inicial do processo de desenvolvimento de produtos, responsável pela geração de conceitos e um importante motor de sucesso na inovação. O FEI caracteriza-se pelo dinamismo, a ambiguidade e a incerteza dos papéis. Vários autores dividem o FEI em outras subfases, a fim de organizar suas atividades, papéis e compreender a função de cada função. Apesar da crescente pesquisa sobre o FEI nos últimos anos, há necessidade de novas pesquisas sobre o assunto para entender melhor a dinâmica e ajudar a reduzir a incerteza na fase conceitual crítica. Os processos formais projetados para o front-end são insuficientes, os papéis e as regras e não são totalmente descritos e é necessário equilibrar as interações entre as atividades no FEI para obter um melhor estruturado Desenvolvimento de Novos Produtos - NPD - depois. Os principais modelos de FEI desenvolvidos na literatura discutem alguns papéis fundamentais como marketing, engenharia, consumidores, mas não discutem o papel do design, crítico nas atividades criativas, que, por sua vez, são a natureza do processo de desenvolvimento de novos produtos. A literatura também não tem discutido a integração externa no FEI, ou seja, como os clientes integram os parceiros, especialmente os fornecedores e agências de design, nesta fase crítica e incerta. Para abordar esta questão, esta pesquisa visa examinar o FEI em uma indústria dinâmica, examinando a integração de papéis em um processo iterativo. O objetivo desta pesquisa é identificar os papéis que desempenham no Front End de Inovação e os mecanismos de integração, sejam eles internos através de equipes multifuncionais; ou externos através da integração entre firmas. A principal questão que guiou esta pesquisa é \"Quais papéis estão envolvidas em cada atividade do FEI e quais são os mecanismos que integram estes papéis no FEI?\" Trata-se de uma pesquisa qualitativa e exploratória, baseada em estudos de casos múltiplos. Para este estudo, o setor de embalagens foi selecionado por sua cadeia de valor na fase conceitual, que possui um conjunto complexo de relacionamentos entre suas partes, as Indústrias de Bens de Consumo, as Agências de Design e os Produtores de Embalagens. Os consumidores compram o produto pela performance do mesmo e também pela embalagem. A embalagem é considerada um segundo produto no ponto de venda e um fator de decisão de compra vital. As Indústrias de Bens de Consumo entendem que precisam integrar fornecedores no FEI para ajudá-las a identificar oportunidades, ideação e conceituação. Foram entrevistados cinco Indústrias de Bens de Consumo e o FEI foi dividido em cinco atividades: Identificações e Análises de Oportunidades, Geração de Ideias, Enriquecimento de Ideias, Seleção de Ideias e Desenvolvimento de Conceitos.