Essays about: "Scheduling Algorithms"

Showing result 1 - 5 of 145 essays containing the words Scheduling Algorithms.

  1. 1. Dynamic container orchestration for a device-cloud continuum

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Camilo Alfonso Rodriguez Garzon; [2023]
    Keywords : Edge computing; kubernetes operator; dynamic scheduling; Edge computing; Kubernetes-operatör; dynamisk schemaläggning;

    Abstract : 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. READ MORE

  3. 2. CPU vs GPU performance when solving the flexible job-shop problem using genetic algorithms

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Love Göransson; Marcus Nilszén; [2023]
    Keywords : ;

    Abstract : In this thesis, a comparison is made between the performance of genetic algorithms executed on the CPU and the GPU for solving the Flexible Job-shop Scheduling Problem (FJSP). The purpose is to determine whether one processing unit offers better performance than the other. READ MORE

  4. 3. Efficiently Solving the Exact Cover Problem in OpenMP

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Leo Hall; [2023]
    Keywords : Exact Cover; openmp; parallelization;

    Abstract : The exact cover problem is an NP-complete problem with many widespread use cases such as crew scheduling, railway scheduling, benchmarking as well as having applications in set theory. Existing algorithms can be slow when dealing with large datasets however. READ MORE

  5. 4. Smart Tracking for Edge-assisted Object Detection : Deep Reinforcement Learning for Multi-objective Optimization of Tracking-based Detection Process

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Shihang Zhou; [2023]
    Keywords : Tracking-By-Detection; Deep Reinforcement Learning; Multi-Objective Optimization; Spårning genom detektion; Djup förstärkningsinlärning; Multiobjektiv optimering;

    Abstract : Detecting generic objects is one important sensing task for applications that need to understand the environment, for example eXtended Reality (XR), drone navigation etc. However, Object Detection algorithms are particularly computationally heavy for real-time video analysis on resource-constrained mobile devices. READ MORE

  6. 5. An Evaluation of GeneticAlgorithm Approaches for theUnit Commitment Problem inPower Generation Scheduling

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Nandini Mattathil Suresh; [2023]
    Keywords : Unit Commitment Problem; Genetic Algorithm; Meta-heuristics; Economic Dispatch; Constrained Optimization; Encoding; Crossover; Mutation; Selection;

    Abstract : 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. READ MORE