Search for dissertations about: "computer technology"
Showing result 16 - 20 of 3972 swedish dissertations containing the words computer technology.
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16. Symbolic Supervisory Control of Resource Allocation Systems
Abstract : Supervisory control theory (SCT) is a formal model-based methodology for verification and synthesis of supervisors for discrete event systems (DES). The main goal is to guarantee that the closed-loop system fulfills given specifications. SCT has great promise to assist engineers with the generation of reliable control functions. READ MORE
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17. Adaptive Resource Management Techniques for High Performance Multi-Core Architectures
Abstract : Reducing the average memory access time is crucial for improving the performance of applications executing on multi-core architectures. With workload consolidation this becomes increasingly challenging due to shared resource contention. Previous works has proposed techniques for partitioning of shared resources (e.g. READ MORE
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18. Clustering in the Big Data Era: methods for efficient approximation, distribution, and parallelization
Abstract : Data clustering is an unsupervised machine learning task whose objective is to group together similar items. As a versatile data mining tool, data clustering has numerous applications, such as object detection and localization using data from 3D laser-based sensors, finding popular routes using geolocation data, and finding similar patterns of electricity consumption using smart meters. READ MORE
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19. QoS Driven Coordinated Management of Resources to Save Energy in Multi-Core Systems
Abstract : Reducing the energy consumption of computing systems is a necessary endeavor. However, saving energy should not come at the expense of degrading user experience. To this end, in this thesis, we assume that applications running on multi-core processors are associated with a quality-of-service (QoS) target in terms of performance constraints. READ MORE
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20. Deterministic, Explainable and Resource-Efficient Stream Processing for Cyber-Physical Systems
Abstract : We are undeniably living in the era of big data , where people and machines generate information at an unprecedented rate. While processing such data can provide immense value, it can prove especially challenging because of the data's Volume, Variety and Velocity . READ MORE