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Found 5 swedish dissertations matching the above criteria.
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1. Cluster Scheduling and Management for Large-Scale Compute Clouds
Abstract : Cloud computing has become a powerful enabler for many IT services and new technolo-gies. It provides access to an unprecedented amount of resources in a fine-grained andon-demand manner. To deliver such a service, cloud providers should be able to efficientlyand reliably manage their available resources. READ MORE
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2. Metadata Management in Multi-Grids and Multi-Clouds
Abstract : Grid computing and cloud computing are two related paradigms used to access and use vast amounts of computational resources. The resources are often owned and managed by a third party, relieving the users from the costs and burdens of acquiring and managing a considerably large infrastructure themselves. READ MORE
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3. HPC scheduling in a brave new world
Abstract : Many breakthroughs in scientific and industrial research are supported by simulations and calculations performed on high performance computing (HPC) systems. These systems typically consist of uniform, largely parallel compute resources and high bandwidth concurrent file systems interconnected by low latency synchronous networks. READ MORE
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4. Application-aware resource management for datacenters
Abstract : High Performance Computing (HPC) and Cloud Computing datacenters are extensively used to steer and solve complex problems in science, engineering, and business, such as calculating correlations and making predictions. Already in a single datacenter server, there are thousands of hardware and software metrics – Key Performance Indicators (KPIs) – that individually and aggregated can give insight in the performance, robustness, and efficiency of the datacenter and the provisioned applications. READ MORE
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5. Virtual infrastructures for computational science: software and architectures for distributed job and resource management
Abstract : In computational science, the scale of problems addressed and the resolution of solu- tions achieved are often limited by the available computational capacity. The current methodology of scaling computational capacity to large scale (i.e. READ MORE