Sökning: "edge user allocation"

Visar resultat 1 - 5 av 11 uppsatser innehållade orden edge user allocation.

  1. 1. A Bayesian Bee Colony Algorithm for Hyperparameter Tuning of Stochastic SNNs : A design, development, and proposal of a stochastic spiking neural network and associated tuner

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

    Författare :Oskar Falkeström; [2023]
    Nyckelord :edge computing; edge user allocation; constraint satisfaction problem; bin packing problem; spiking neural networks; SNN; stochastic spiking neural networks; neuromorphic computing; hyperparameter tuning; swarm intellience; artificial bee colony algorithm; tree-structured Parzen estimator; stochastic optimization; Bayesian optimization.;

    Sammanfattning : With the world experiencing a rapid increase in the number of cloud devices, continuing to ensure high-quality connections requires a reimagining of cloud. One proponent, edge computing, consists of many distributed and close-to-consumer edge servers that are hired by the service providers. LÄS MER

  3. 2. Introducing GA-SSNN: A Method for Optimizing Stochastic Spiking Neural Networks : Scaling the Edge User Allocation Constraint Satisfaction Problem with Enhanced Energy and Time Efficiency

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

    Författare :Nathan Allard; [2023]
    Nyckelord :;

    Sammanfattning : As progress within Von Neumann-based computer architecture is being limited by the physical limits of transistor size, neuromorphic comuting has emerged as a promising area of research. Neuromorphic hardware tends to be substantially more power efficient by imitating the aspects of computations in networks of neurons in the brain. LÄS MER

  4. 3. A neuromorphic approach for edge use allocation

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Kim Petersson Steenari; [2022]
    Nyckelord :Neuromorphic computing; Edge computing; Neuromorphic; Edge; Cloud computing; cloud; SNN; Spiking neural networks; Edge user allocation;

    Sammanfattning : This paper introduces a new way of solving an edge user allocation problem. The problem is to be solved with a network of spiking neurons. This network should quickly and with low energy cost solve the optimization problem of allocating users to servers and minimizing the amount of servers hired to reduce the related hiring cost. LÄS MER

  5. 4. Wi-Fi 7 : Multi-Link Operation in XR industrial scenarios

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

    Författare :Molham Alsakati; [2022]
    Nyckelord :Wi-Fi 7; IEEE 802.11be; Multi-Link Operation; Industrial XR; Traffic Allocation Policy; Wi-Fi 7; IEEE 802.11be; Multi-Länk Operation; Industriel XR; Trafikfördelningspolicy;

    Sammanfattning : Since its first release in the late 1990s, Wi-Fi has been updated to keep up with evolving user needs. Wi-Fi and other radio access technologies have been pushed to their edge when it comes to serving Extended Reality (XR) applications. Adopting XR applications in the industry has the possibility of numerous advantages. LÄS MER

  7. 5. Evaluation of Scheduling Policies for XR Applications

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

    Författare :Neelabhro Roy; [2022]
    Nyckelord :Extended Reality; Virtual Reality; Edge Computing; Resource allocation; Scheduling policies; Multi-layered video encoding; online scheduling; maximum-bipartite weighted matching; competitive analysis; Extended Reality; Virtual Reality; Edge Computing; Resursallokering; Schemaläggningspolicyer; Flerskiktig videokodning; onlineschemaläggning; maximalt tvådelad viktad matchning; konkurrensanalys;

    Sammanfattning : Immersion based technologies such as Augmented Reality (AR), Virtual Reality (VR) and Mixed Reality (MR), together falling under the umbrella of Extended Reality (XR) have taken the world by storm in the recent past. However, with the growing market and the increasing number of applications of XR, multiple challenges have arisen. LÄS MER