Search for dissertations about: "Grid Middleware"
Showing result 1 - 5 of 10 swedish dissertations containing the words Grid Middleware.
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1. Managing Service Levels in Grid Computing Systems : Quota Policy and Computational Market Approaches
Abstract : We study techniques to enforce and provision differentiated service levels in Computational Grid systems. The Grid offers simplified provisioning of peak-capacity for applications with computational requirements beyond local machines and clusters, by sharing resources across organizational boundaries. READ MORE
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2. Capacity allocation mechanisms for grid environments
Abstract : During the past decade, Grid computing has gained popularity as a means to build powerful computing infrastructures by aggregating distributed computing capacity. Grid technology allows computing resources that belong to different organizations to be integrated into a single unified system image – a Grid. READ MORE
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3. Exploration of extended Higgs sectors, development of a displaced track trigger, and improvements in GRID middleware
Abstract : Two possible solutions to the Standard Model (SM) fine-tuning problem are presented in this thesis, MSSM and Compositeness. The Higgs sector of the MSSM can be tested by searching for charged Higgs bosons. Two direct searches for charged Higgs bosons decaying into a top- and bottom-quark are performed using 13.2 and 36. READ MORE
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4. Statistical Methods for Computational Markets : Proportional Share Market Prediction and Admission Control
Abstract : We design, implement and evaluate statistical methods for managing uncertainty when consuming and provisioning resources in a federated computational market. To enable efficient allocation of resources in this environment, providers need to know consumers' risk preferences, and the expected future demand. READ MORE
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5. Multi-Agent Based Simulations in the Grid Environment
Abstract : The computational Grid has become an important infrastructure as an execution environment for scientific applications that require large amount of computing resources. Applications which would otherwise be unmanageable or take a prohibitively longer execution time under previous computing paradigms can now be executed efficiently on the Grid within a reasonable time. READ MORE