Sökning: "beräkningsavlastning"

Hittade 5 uppsatser innehållade ordet beräkningsavlastning.

  1. 1. Computation Offloading for Real-Time Applications : Server Time Reservation for Periodic Tasks

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Lizzy Tengana Hurtado; [2023]
    Nyckelord :Computation Offloading; Real-Time Applications; Resource Reservation; Beräkningsavlastning; realtidsapplikationer; resursreservation;

    Sammanfattning : Edge computing is a distributed computing paradigm where computing resources are located physically closer to the data source compared to the traditional cloud computing paradigm. Edge computing enables computation offloading from resource-constrained devices to more powerful servers in the edge and cloud. LÄS MER

  3. 2. Edge Compute Offloading Strategies using Heuristic and Reinforcement Learning Techniques.

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Chrysoula Dikonimaki; [2023]
    Nyckelord :Computation offloading; Edge Computing; Heuristics; Multi-armed bandit; Beräkningsavlastning; Heuristics; Kantberäkning; Flerarmad bandit-algoritm;

    Sammanfattning : The emergence of 5G alongside the distributed computing paradigm called Edge computing has prompted a tremendous change in the industry through the opportunity for reducing network latency and energy consumption and providing scalability. Edge computing extends the capabilities of users’ resource-constrained devices by placing data centers at the edge of the network. LÄS MER

  4. 3. Deep Multiple Description Coding for Semantic Communication : Theory and Practice

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Martin Lindström; [2022]
    Nyckelord :Deep Learning; Split Computing; Multiple Description Coding; Semantic Communication; Internet of Things; Image Classification; Djupinlärning; distribuerade beräkningar; distribuerad kodning; semantisk kommunikation; sakernas internet; Internet of Things; bildklassificering;

    Sammanfattning : With the era of wirelessly connected Internet of Things (IoT) devices on the horizon, eective data processing algorithms for IoT devices are of increasing importance. IoT devices often have limited power and computational resources, making data processing on the device unfeasible. LÄS MER

  5. 4. Hardware Acceleration in the Context of Motion Control for Autonomous Systems

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Jelin Leslin; [2020]
    Nyckelord :Hardware acceleration; Computation offloading; State estimation filter; Autonomous systems; FPGA; GPU.; Hårdvaruacceleration; beräkningsavlastning; tillståndsskattningsfilter; autonoma system; FPGA; GPU.;

    Sammanfattning : State estimation filters are computationally intensive blocks used to calculate uncertain/unknown state values from noisy/not available sensor inputs in any autonomous systems. The inputs to the actuators depend on these filter’s output and thus the scheduling of filter has to be at very small time intervals. LÄS MER

  7. 5. Computation Offloading and Task Scheduling among Multi-Robot Systems

    Master-uppsats, KTH/Skolan för informations- och kommunikationsteknik (ICT)

    Författare :Jixiang Zhu; [2017]
    Nyckelord :;

    Sammanfattning : In a Multi-Robot System (MRS), robots perform some collaborative behaviors so that some goals that are impossible for a single robot to achieve become feasible and attainable. Developing rapidly and exploited widely, cloud further extends the resources a robot can access thereby bringing significant potential benefits to robotic and automation systems. LÄS MER