Sökning: "dynamic scheduling"
Visar resultat 1 - 5 av 83 uppsatser innehållade orden dynamic scheduling.
1. Dynamic container orchestration for a device-cloud continuum
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Edge computing has emerged as a paradigm to support the growing demand for real-time processing of data generated at the edge of the network. As the devices at the edge are constrained, one of the challenges in the area is how to schedule workloads. LÄS MER
2. Empirical Evaluation of Construction Methods for Relaxed Decision Diagrams in Scheduling
Master-uppsats, Linköpings universitet/Programvara och systemSammanfattning : Decision diagrams have recently emerged as a promising approach for difficult scheduling problems, along with other challenging discrete optimization problems. Decision diagrams can offer a compact representation of the solution space, and has the ability to capture complex constraints that are hard to model or express in other techniques. LÄS MER
3. An Evaluation of GeneticAlgorithm Approaches for theUnit Commitment Problem inPower Generation Scheduling
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : The Unit Commitment Problem (UCP) poses a significant challenge in optimizing powergeneration schedules within complex and dynamic energy systems. This study explores theapplication of Genetic Algorithms (GAs) as a promising approach to address UCP, their ability tonavigate complex solution spaces and adapt to changing operational conditions. LÄS MER
4. Energy Sustainable Reinforcement Learning-based Adaptive Duty-Cycling in Wireless Sensor Networks-based Internet of Things Networks
Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : The Internet of Things (IoT) is widely adopted across various fields due to its flexibility and low cost. Energy-harvesting Wireless Sensor Networks (WSNs) are becoming a building block of many IoT applications and provide a perpetual source of energy to power energy-constrained IoT devices. LÄS MER
5. Register Caching for Energy Efficient GPGPU Tensor Core Computing
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The General-Purpose GPU (GPGPU) has emerged as the predominant computing device for extensive parallel workloads in the fields of Artificial Intelligence (AI) and Scientific Computing, primarily owing to its adoption of the Single Instruction Multiple Thread architecture, which not only provides a wealth of thread context but also effectively hide the latencies exposed in the single threads executions. As computational demands have evolved, modern GPGPUs have incorporated specialized matrix engines, e. LÄS MER