Search for dissertations about: "intensive data storage"
Showing result 1 - 5 of 11 swedish dissertations containing the words intensive data storage.
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1. Resource Allocation for Data-Intensive Services in the Cloud
Abstract : Cloud computing has become ubiquitous due to its resource flexibility and cost efficiency. Resource flexibility allows Cloud users to elastically scale their Cloud resources, for instance, by horizontally scaling the number of virtual machines allocated to each application as the application demands change. READ MORE
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2. Towards Real-World Federated Learning: Empirical Studies in the Domain of Embedded Systems
Abstract : Context: Artificial intelligence (AI) has led a new phase of technical revolution and industrial development around the world since the twenty-first century, revolutionizing the way of production. Artificial intelligence (AI), an emerging information technology, is thriving, and AI application technologies are gaining traction, particularly in professional services such as healthcare, education, finance, security, etc. READ MORE
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3. Visualization of dynamic multibody simulation : with special reference to contacts
Abstract : This thesis describes the requirements for creating a complete multibody visualization system. The complete visualization process includes everything from data storage to image rendering, and what is needed for a meaningful user-to-data interaction. READ MORE
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4. High-Performance I/O Programming Models for Exascale Computing
Abstract : The success of the exascale supercomputer is largely dependent on novel breakthroughs that overcome the increasing demands for high-performance I/O on HPC. Scientists are aggressively taking advantage of the available compute power of petascale supercomputers to run larger scale and higher-fidelity simulations. READ MORE
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5. Emerging Paradigms in the Convergence of Cloud and High-Performance Computing
Abstract : Traditional HPC scientific workloads are tightly coupled, while emerging scientific workflows exhibit even more complex patterns, consisting of multiple characteristically different stages that may be IO-intensive, compute-intensive, or memory-intensive. New high-performance computer systems are evolving to adapt to these new requirements and are motivated by the need for performance and efficiency in resource usage. READ MORE