Sökning: "computer technology"
Visar resultat 16 - 20 av 4087 avhandlingar innehållade orden computer technology.
16. Symbolic Supervisory Control of Resource Allocation Systems
Sammanfattning : 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. LÄS MER
17. Adaptive Resource Management Techniques for High Performance Multi-Core Architectures
Sammanfattning : 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. LÄS MER
18. Clustering in the Big Data Era: methods for efficient approximation, distribution, and parallelization
Sammanfattning : 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. LÄS MER
19. QoS Driven Coordinated Management of Resources to Save Energy in Multi-Core Systems
Sammanfattning : 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. LÄS MER
20. Deterministic, Explainable and Resource-Efficient Stream Processing for Cyber-Physical Systems
Sammanfattning : 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 . LÄS MER