Today, the increasing number of applications based on the Internet of Things, as well as advances in wireless communication, information and communication technology, and mobile cloud computing have allowed users to access a wide range of resources while mobile. Vehicular clouds are considered key elements for today’s intelligent transportation systems. They are outfitted with equipment to enable applications and services for vehicle drivers, surrounding vehicles, pedestrians and third parties. As vehicular cloud computing has become more popular, due to its ability to improve driver and vehicle safety and provide provisioning services and applications, researchers and industry have growing interest in the design and development of vehicular networks for emerging applications. Though vehicle drivers can now access a variety of on-demand resources en route via vehicular network service providers, the development of vehicular cloud provisioning services has many challenges. In this dissertation, we examine the most critical provisioning service challenges drivers face, including, cost, privacy and latency. To this point, very little research has addressed these issues from the driver perspective. Privacy and service latency are certainly emerging challenges for drivers, as are service costs since this is a relatively new financial concept. Motivated by the Quality of Experience paradigm and the concept of the Trusted Third Party, we identify and investigate these challenges and examine the limitations and requirements of a vehicular environment. We found no research that addressed these challenges simultaneously, or investigated their effect on one another. We have developed a Quality of Experience framework that provides scalability and reduces congestion overhead for users. Furthermore, we propose two theory-based frameworks to manage on-demand service provision in vehicular clouds: Auction-driven Multi-objective Provisioning and a Multiagent/Multiobjective Interaction Game System. We present different approaches to these, and show through analytical and simulation results that our potential schemes help drivers minimize costs and latency, and maximize privacy.

The public procurement draws a lot of attention in terms of treatment with public resources. Unfortunately this attention has mostly negative character. The aim of this Diploma Thesis is to bring an untraditional overview on the processing of public procurement and introduce one of the modern ways of using auction mechanisms. Combinatorial auctions can, as it already happened in other areas, open new possibilities for contracting authorities and bidders who participate in procurement conducted in accordance with Czech legislation. Also this Diploma Thesis can be the inspiration for thought if the current rules for public procurement are in accordance with the best interests of contracting authorities and bidders. In order to present the application of combinatorial auctions on public procurement the mathematical model based on partially real data was compiled in software Lingo. The results of such model were used as the source for the effectiveness analysis of discussed topic.

Orientador: Paulo de Barros Correia / Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica / Made available in DSpace on 2018-08-29T00:34:18Z (GMT). No. of bitstreams: 1 Lanzotti_CarlaRegina_D.pdf: 4027525 bytes, checksum: 45f3e8aec6a9ec1acf3263ac5c80d6a4 (MD5) Previous issue date: 2006 / Resumo: A modificação no segmento de comercialização de energia elétrica impulsionou a busca por mecanismos que estimulassem a competição e auxiliassem a determinação do preço da energia elétrica. Um dos mecanismos adotados para estimular a competição entre os agentes do mercado é o leilão, que pode ser formulado de acordo com as necessidades do seu proponente. Para atuar em um mercado competitivo é necessário que o agente do setor elétrico esteja bem informado para extrair bons resultados nas negociações. Partindo deste princípio, algumas ferramentas baseadas na teoria dos jogos e leilão foram desenvolvidas pelo grupo de comercialização de energia elétrica da Unicamp, com o intuito de aplicar modelos para o setor elétrico no contexto das regras adotadas no mercado brasileiro. Este trabalho especifica e desenvolve um ambiente computacional para integrar tanto as ferramentas implementadas quanto aquelas em desenvolvimento e incorpora uma base de dados para armazenar as principais informações do mercado de energia elétrica, do sistema elétrico e da economia. Desta forma, a plataforma de auxílio à comercialização de energia elétrica corresponde a um software formado por três módulos, incorporando um módulo de simulação de leilão, um módulo para auxiliar as estratégias de contratação e um módulo de banco de dados. A aplicação da plataforma de comercialização visa facilitar a atuação dos agentes do mercado de energia elétrica, auxiliando a verificação e definição de lances a fim de gerar uma maior eficiência dos seus lances em um leilão realizado pela CCEE e também para elaborarem os seus próprios leilões, com a finalidade de explorar a liberdade de contratação bilateral / Abstract: Recent changes in the regulation of electric energy commercialisation have driven the search for mecanisms capable of determining the electric energy price and allowing a better competition. One of the mecanisms to leverage competition between market players is auction, which can be set up to meet the needs of the proponent. An electric sector agent should be kept up to date in order to establish profitable businesses. Having this assumption in mind some tools were developed based on game theory and auction by the Unicamp electric energy commercialisation group, intending the application of models to electric sector in the context of brazilian market regulation. This paper specifies and develop a computer aided environment to integrate the developed tools to new ones as well as a data base to store main information from electric energy market, electric system and economy. As a matter of fact, the electric energy commercialisation support platform corresponds to a software made up by three modules, including a auction simulation module, a contract strategy aid module and a data base module. In the specification of the platform it was used a concept of modularity which allows the inclusion of addditional modules to the structure and the evolution of the tools to cope with the market needs. The platform is to help electric energy market players to check and make offers to generate a greater effectiveness in the proposals, in order to explore the freedom of bilateral contracts / Doutorado / Planejamento de Sistemas Energeticos / Doutora em Planejamento de Sistemas Energéticos

This thesis delas with the business plan of the internet auction portal with non banking loans. The main aim of the thesis is on the base of financial plan and financial alalysis design functional system which would be realizable in practise. In theoretical part I deal with internet auctions and also legislation of consumers contracts and loans. In practical part comparing the loan market and proposal of business solution.

This thesis is an explanation of Real Estate Auctions in the Czech republic. It is a document, to be used by the Auctioneer and also by the organization of the Auction for issued expenses. This thesis describes how the price of property can be created. It also explains methods to detect the usual Auction price of the property, in the experts opinion, and it provides specific case estimates of the prices of auctioned property. Further this thesis analyzes the growth of Auctions in the Czech republic in time and cost savings against the usual price of property, which can be reached by the bidder in a public Auction.

This report aimed to develop algorithms for solving the optimization problem of matchingbuy and sell orders in call auctions while minimizing the number of transactions. The developed algorithms were evaluated based on their execution time and solution accuracy.The study found that the problem was more difficult to solve than initially anticipated, and commercial solvers were inadequate for the task. The data’s characteristics werecritical to the algorithms’ performance, and the lack of specifications for instruments andexchange posed a challenge. The algorithms were tested on a broad range of datasets with different characteristics, as well as real trades of stocks from the Stockholm Stock Exchange. Evaluating the best-performing algorithm became a trade-off between time and accuracy, where the quickest algorithm did not have the highest solution accuracy. Therefore, the importance of these factors should be considered before deciding which algorithm to implement. Eight algorithms were evaluated: four greedy algorithms and four clusteralgorithms capable of identifying 2-1 and 3-1 matches. If execution time is the single most crucial factor, the Unsorted Greedy Algorithm should be considered. However, if accuracyi s a priority, the Cluster 3-1 & 1-3 Algorithm should be considered, even though it takes longer to find a solution. Ultimately, the report concluded that while no single algorithm can be definitively la-beled as the best, the Cluster 2-1 Algorithm strikes the most effective balance between execution time and solution accuracy, while also remaining relatively stable in perfor-mance for all test cases. The recommendation was based on the fact that the Cluster 2-1 Algorithm proved to be the quickest of the developed cluster algorithms, and that cluster algorithms were able to find the best solutions for all tested data sets. This study successfully addressed its purpose by developing eight algorithms that solved the given problem and suggested an appropriate algorithm that strikes a balance between execution time and solution quality.

Unwanted horses are a growing problem in the United States, and through the use of surveys, researchers can understand public opinion and experiences related to this problem. This study administered surveys specific to horse and non-horse owners through face-toace delivery and to rescue/retirement and auction facilities through the mail. Data was analyzed using a CRD, GLM and Fisher’s Protected LSD with á of 0.05. Comparisons were completed between horse and non-horse owners, horse owners and non-horse owners with equine experience, non-horse owners with and without equine experience, Quarter horse and other breeds owners, and auction and rescue/retirement facilities. Similarities were seen between groups for questions associated with participant location, understanding of processing/harvesting regulations and procedures, processing/harvesting facility restrictions preferences, and knowledge of management cutbacks and rescue facility locations. The only question that was significantly different for all comparisons was concerning the support towards the reopening of equine processing/harvesting facilities.

No description available.

Ubiquitous access to the Internet and supporting technologies gave birth to online labor markets (Malone and Laubacher 1998). Online labor markets enable employers (employers) to contract with professionals (service providers) from anywhere in the world. Firms now are able to greatly expand their workforce and bring a large arsenal of labor to bear on IT jobs, such as software or web development using Internet-enabled procurement platforms such as Freelancer. These markets serve as intermediaries for IT services (outsourcers post Call for Bids (CFBs) for services and providers offer bids for IT services) that help match employers with service providers across the globe. In my dissertation, I try to comprehensively study this Internet-enabled phenomenon from the perspectives of these three entities on global online markets with three separate yet related essays. The first essay focuses on the "global" nature of the market, and assess the effect of global frictions and global labor arbitrage on both provider bidding and employer selection. The second essay focuses on the effect of auction mechanism - sealed versus open bid auction - on providers' bidding dynamics, and the market performance. The third essay focuses on estimating true consumer (employer) surplus of online labor markets with a quality-adjusted measure. I also test its robustness by comparing its effects on consumers' subsequent transactions. I also find that market immaturity, consumers' lack of experience in the market, and consumers' lack of familiarity with IT service providers lead to the difference between the traditional measure and the quality-adjusted consumer surplus. / Business Administration/Management Information Systems

Recently, there has been a massive growth in the number of mobile users and their traffic. The data traffic volume almost doubles every year. Mobile users are currently running multiple applications that require higher bandwidth which makes users so limited to the service providers' resources. Increasing the utilization of the existing spectrum can significantly improve network capacity, data rates and user experience. Spectrum sharing enables wireless systems to harvest under-utilized swathes of spectrum, which would vastly increase the efficiency of spectrum usage. Making more spectrum available can provide significant gain in mobile broadband capacity only if those resources can be aggregated efficiently with the existing commercial mobile system resources. Carrier aggregation (CA) is one of the most distinct features of 4G systems including Long Term Evolution Advanced (LTE-Advanced). In this dissertation, a resource allocation with carrier aggregation framework is proposed to allocate multiple carriers resources optimally among users with elastic and inelastic traffic in cellular networks. We use utility proportional fairness allocation policy, where the fairness among users is in utility percentage of the application running on the user equipment (UE). A resource allocation (RA) with CA is proposed to allocate single or multiple carriers resources optimally among users subscribing for mobile services. Each user is guaranteed a minimum quality of service (QoS) that varies based on the user's application type. In addition, a resource allocation with user discrimination framework is proposed to allocate single or multiple carriers resources among users running multiple applications. Furthermore, an application-aware resource block (RB) scheduling with CA is proposed to assign RBs of multiple component carriers to users' applications based on a utility proportional fairness scheduling policy. We believe that secure spectrum auctions can revolutionize the spectrum utilization of cellular networks and satisfy the ever increasing demand for resources. Therefore, a framework for multi-tier dynamic spectrum sharing system is proposed to provide an efficient sharing of spectrum with commercial wireless system providers (WSPs) with an emphasis on federal spectrum sharing. The proposed spectrum sharing system (SSS) provides an efficient usage of spectrum resources, manages intra-WSP and inter-WSP interference and provides essential level of security, privacy, and obfuscation to enable the most efficient and reliable usage of the shared spectrum. It features an intermediate spectrum auctioneer responsible for allocating resources to commercial WSPs' base stations (BS)s by running secure spectrum auctions. In order to insure truthfulness in the proposed spectrum auction, an optimal bidding mechanism is proposed to enable BSs (bidders) to determine their true bidding values. We also present a resource allocation based on CA approach to determine the BS's optimal aggregated rate allocated to each UE from both the BS's permanent resources and winning auctioned spectrum resources. / Ph. D.