This thesis deals with the background of the design of a highly available, scalable and modular content management system based on the Java EE platform and the OSGi framework and with the implementation of the designed system. It describes the design and implementation of the application decomposition to modules, their communication and bindings. Finally, it presents the results of the application testing and proposes available extensions of the application.

Orientador: Fernando Augusto Silva Marins / Coorientador: Aneirson Francisco da Silva / Banca: Valério Antonio Pamplona Salomon / Banca: Leonardo Antonio Monteiro Pessôa / Resumo: Neste trabalho aplicou-se a Simulação a Eventos Discretos na área de Intra-logística de abastecimento de uma linha de montagem de chassis, de uma indústria multinacional, (na fase de try-out). Objetivou-se desenvolver uma ferramenta gerencial que possibilitasse a identificação, a priori, de possíveis gargalos na linha de montagem, que possam surgir quando da sua implementação em regime de produção. Como delimitação do trabalho, foram simuladas, como variáveis de entrada, apenas os tamanhos de lotes de peças que abastecem as estações do trabalho robotizadas de solda dos subconjuntos dos chassis, adotando-se os dados de uma linha de montagem similar já existente. No desenvolvimento da ferramenta gerencial foi utilizada uma técnica de modelagem dedicada a projetos de simulação e um software comercial de simulação, bem como foram aplicados testes estatísticos não paramétricos na validação do modelo de simulação. O modelo simulado mostrou capacidade de atendimento à linha de montagem com oportunidade de otimização e de melhor balanceamento de mão de obra, dando origem a sugestões de melhoria no processo / Abstract: In this work had been applied the Discrete Events Simulation technique in the Intralogistics area of supply of a chassis assembly line, of a multinational industry, (in the try-out phase). The objective was to develop a management tool that would allow the identification, at first, of possible bottlenecks on the assembly line, which may arise when it is implemented under a production regime. As a delimitation of the work, only the batch sizes of pieces that supply the robotized welding cells of the chassis subassemblies were simulated as input variables, using data from a similar existing assembly line. In the development of the management tool, a modeling technique dedicated to simulation projects and a commercial simulation software were used, as well as nonparametric statistical tests were applied in the validation of the simulation model. The simulated model showed the ability to service the assembly line with the opportunity for optimization and better balancing of labor, giving rise to suggestions for improvement in the process / Mestre

Shared-disk database systems offer a high degree of freedom in the allocation of workload compared to shared-nothing architectures. This creates a great potential for load balancing but also introduces additional complexity into the process of query scheduling. This report surveys the problems and opportunities faced in scan processing in a shared-disk environment. We list the parameters to tune and the decisions to make, as well as some known solutions and commonsense considerations, in order to identify the most promising areas of future research.

This thesis discuss the ways in which career-driven women balance their professional lives with that of their families, with focus on women working in managerial positions in healthcare facilities. As well as the definition of theoretical concepts, basic time management strategies and a close analysis of planning I., II., III., and IV. generations of time- management, attention will be given to the history of time management and the developmental needs of children. From the research point of view, the question: What strategies for balancing work and family do women in management positions working in healthcare rely on? Outlined in this work is the research plan, data collection, analysis and the summary of results. Also included is a chapter devoted to the ethical aspects of this research. Utilized research methods include: interviews, observation and analysis of time-frames. Key words: time-management, woman, mother, manager, balancing of roles

Research in the area of load balancing in distributed systems has not yet come with an optimal load balancing technique. Existing approaches work primarily with replication and sharding. This thesis overviews existing knowledge in this area with focus on shard- ing, and provides an experiment comparing a state-of-the-art load balancing technique called Weighed-Move with a random baseline and an existing domain-specific balancing implementation. As a significant part of the project, we engineered a generic and scal- able load balancer that may be used in any distributed system and deployed it into an existing ad system called Sklik. The major challenges appeared to be tackling various problems related to data consistency, performance and synchronization, together with solving compatibility issues with the rest of the still-evolving ad system. Our experiment shows that the domain-specific load balancing implementation produces data distribution that enables better performance, but Weighed-Move proved to have a great potential and its results are expected to be enhanced by further work on our implementation. 1

Systems for automated evaluation of assignments are a valuable aid for both teachers of programming courses and their students. The objective of this thesis is to examine the possibilities of deploying such systems in a large-scale distributed environment and the challenges of such endeavors. A sizable part of the requirements comes from experience with ReCodEx - an assignment evaluation system developed at the department of the supervisor. Modern server multi-core processors provide considerable computing power that can be used for assignment evaluation. However, parallel measurements can interfere with each other. This causes unstable results, which detriments the fairness of grading. Isolation (sandboxing) technologies can cause similar effects. We measure both of these influences and use the results to determine to what degree can multi-core processors be exploited. The problem of efficient distribution of work between multiple evaluation workers is complementary to that of utilizing multi-core machines. We survey scheduling algorithms and design an experiment to compare their performance. Additionally, we examine the possibility of leveraging container technologies to simplify the deployment of software required for evaluation. This leads to both a smaller administration overhead and a less complex...

<div>The proliferation of GPS-enabled devices has led to the development of numerous location-based services. These services need to process massive amounts of spatial data in real-time with high-throughput and low response time. The current scale of spatial data cannot be handled using centralized systems. This has led to the development of distributed spatial streaming systems. The performance of distributed streaming systems relies on how even the workload is distributed among their machines. However, the real-time streamed spatial data and query follow non-uniform spatial distributions that are continuously changing over time. Therefore, Distributed spatial streaming systems need to track the changes in the distribution of spatial data and queries and redistribute their workload accordingly. This thesis addresses the challenges of adapting to workload changes in distributed spatial streaming systems to improve the performance while preserving the system's security. </div><div>The thesis proposes TrioStat, an online workload estimation technique that relies on a probabilistic model for estimating the cost of partitions and machines of distributed spatial streaming systems. TrioStat has a decentralised technique to collect and maintain the required statistics in real-time with minimal overhead. In addition, this thesis introduces SWARM, a light-weight adaptive load-balancing protocol that continuously monitors the data and query workloads across the distributed processes of spatial data streaming systems, and redistribute the workloads soon as performance bottlenecks get detected. SWARM uses TrioStat to estimate the workload of the system's machines. Although using adaptive load-balancing techniques significantly improves the performance of distributed streaming systems, they make the system vulnerable to attacks. In this thesis, we introduce a novel attack model that targets adaptive load-balancing mechanisms of distributed streaming systems. The attack reduces the throughput and the availability of the system by making it stay in a continuous state of rebalancing. The thesis proposes Guard, a component that detects and blocks attacks that target the adaptive load balancing of distributed streaming systems. Guard is deployed in SWARM to develop an attack-resilient adaptive load balancing mechanism for Distributed spatial streaming systems.<br></div>

A crankshaft is a component which is used to convert a reciprocating movement into rotating or vice versa. Through the past years classical manufacturing techniques did not leave space for a new approach regarding manufacturing this component. Powder Metallurgy provides a manufacturing technique which can revolutionize this procedure and make it more economical and more efficient. In order for this to be achieved, the crankshaft must be produced in different pieces. Webs, counter-webs and journal shafts must be produced individually and assembled together. The main challenge in this thesis is to understand if the crankshaft’s counter webs could be manufactured all in the same pieces or in as less pieces as possible. This thesis deals mostly with the technical requirements and proposing a new modular design. A kinematic-kinetic analysis is performed by using the values from the existing crankshaft which has been scanned and converted into a CAD model. The numerical values from the kinetic-kinematic analysis in Matlab are compared with a MBS model from Adams. Then the balancing of the crankshaft is analyzed and it is investigated how the counterweights should be arranged in space and what should be the mass and the geometrical properties of them. From the component’s design specifications, several models are generated and evaluated with the Pugh matrix. The original and the new proposed models are compared as far as concern the mass, center of mass, mass moment of inertia and natural frequencies. / En vevaxel är en motorkomponent som används för att omvandla den fram- och återgående rörelsen hos kolv och vevstake till en roterande rörelse. De klassiska metoderna att tillverka vevaxlar har varit dominerande och inte gett någon plats för alternativa tillverkningsmetoder. Powder manufacturing är en metod som kan revolutionera produktionens effektivitet och ekonomi. För att denna tillverkningsmetod ska vara möjlig måste vevaxeln tillverkas i delar. Webs, counter-weights och journal shafts måste produceras individuellt för att sedan sammanfogas. Den största utmaningen för denna avhandling är att förstå om vevaxelns counter webs kan tillverkas med samma form eller med så få olika former som möjligt. Denna avhandling handlar främst om att fastställa dessa tekniska krav och föreslå en ny, modulär design för PM. En kinematisk-kinetisk analys utförs med hjälp av en befintlig vevaxel som skannats och omvandlats till en CAD-modell. De numeriska värdena jämförs med en MBS-modell från Adams. Vevaxeln analyseras med avseende på balansering då motvikternas placering, massa och geometriska egenskaper undersöks. Nya modeller som följer de tekniska krav som krävs skapas och utvärderas med Pugh-matris. De nya föreslagna modellerna jämförs med den ursprungliga utformningen med tanke på massa, masscentrum, MMOI och egenfrekvenser.

During the 20th century, most countries had their electricity production, transport and distribution organised as vertically integrated monopoly. Since the 90s more and more countries, especially in Europe, have replaced their state monopoly by an open market to manage their electrical power system. In order to settle a deregulated market of electricity, countries must adopt new methods and rules for trading electricity, planning production and managing the balance between electricity production and consumption of national power systems. In this context new tools are needed, such as software tools and information systems. This master thesis is part of an R&amp;D project, aiming at developing software tools for the implementation of electricity markets, especially the mechanisms of bidding to buy and sell electricity on the Balancing Market. The new software developed by this R&amp;D project is a generic software, based on a flexible model, and it should be adapted to different systems of electricity markets. The present master thesis report explains the principles and processes of electricity markets, focusing on the auction mechanisms for the purchase of electricity in real time: the Balancing Market. The report exposes different methods to regulate the stability of electricity network in different European countries (Regulation Services to maintain the balance between electricity production and consumption), and analyses different systems of Balancing Market in various countries; more specifically, it inludes syntheses of the balancing market systems in Romania, Hungary, Germany, France and the Nordic countries. From the confrontation of those systems, the basis for a new flexible model has been developed. This report aims to be useful for people who have to work on a project related to electricity market (especially this R&amp;D project) and need to acquire the required knowledge about markets of electricity, regulation services and balancing markets (especially the market systems of Romania, Hungary, Germany, France and the Nordic countries).

While the traditional approach to ease traffic congestion has focused on building infrastructure, the recent emergence of Connected and Automated Vehicles (CAVs) and urban mobility services (e.g., Autonomous Mobility-on-Demand (AMoD) systems) has opened a new set of alternatives for reducing travel times. This thesis seeks to exploit these advances to improve the operation and efficiency of Intelligent Transportation Systems using a network optimization perspective. It proposes novel methods to evaluate the prospective benefits of adopting socially optimal routing schemes, intermodal mobility, and contraflow lane reversals in transportation networks. This dissertation makes methodological and empirical contributions to the transportation domain. From a methodological standpoint, it devises a fast solver for the Traffic Assignment Problem with Side Constraints which supports arbitrary linear constraints on the flows. Instead of using standard column-generation methods, it introduces affine approximations of the travel latency function to reformulate the problem as a quadratic (or linear) programming problem. This framework is applied to two problems related to urban planning and mobility policy: social routing with rebalancing in intermodal mobility systems and planning lane reversals in transportation networks. Moreover, it proposes a novel method to jointly estimate the Origin-Destination demand and travel latency functions of the Traffic Assignment Problem. Finally, it develops a model to jointly optimize the pricing, rebalancing and fleet sizing decisions of a Mobility-on-Demand service. Empirically, it validates all the methods by testing them with real transportation topologies and real traffic data from Eastern Massachusetts and New York City showing the achievable benefits obtained when compared to benchmarks.