Essays about: "distributed system field"

Showing result 1 - 5 of 117 essays containing the words distributed system field.

  1. 1. Visual Attention Guided Adaptive Quantization for x265 using Deep Learning

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

    Author : Mikaela Gärde; [2023]
    Keywords : video encoding; deep learning; visual attention; adaptive quantization; videokodning; djupinlärning; visuellt fokus; adaptiv kvantisering;

    Abstract : The video on demand streaming is raising drastically in popularity, bringing new challenges to the video coding field. There is a need for new video coding techniques that improve performance and reduce the bitrates. READ MORE

  2. 2. Security Management in Cloud Computing for healthcare Data

    University essay from Luleå tekniska universitet

    Author : Malik Asad; [2023]
    Keywords : ;

    Abstract : "In today's research field interconnected world, preventing security issues and confidentiality breaches has become paramount to safeguarding sensitive information, and organizations must take proactive measures to ensure data security. Cloud computing enhances security management by reducing the likelihood of cyber-attacks. READ MORE

  3. 3. Scalable Reinforcement Learning for Formation Control with Collision Avoidance : Localized policy gradient algorithm with continuous state and action space

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

    Author : Andreu Matoses Gimenez; [2023]
    Keywords : Control theory; Multi-agent systems; Distributed systems; Formation control; Collision avoidance; Reinforcement learning; Teoria de control; Sistemes multiagent; Sistemes distribuïts; Control de formació; Prevenció de col·lisions; Reinforcement Learning; Reglerteknik; Multi-agent system; Distribuerade system; formationskontroll; Kollisionsundvikande; Reinforcement learning; Teoría de control; Sistemas multiagente; Sistemas distribuidos; Control de formación; Prevención de colisiones; Reinforcement Learning;

    Abstract : In the last decades, significant theoretical advances have been made on the field of distributed mulit-agent control theory. One of the most common systems that can be modelled as multi-agent systems are the so called formation control problems, in which a network of mobile agents is controlled to move towards a desired final formation. READ MORE

  4. 4. Predicting resource usage on a Kubernetes platform using Machine Learning Methods

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : Arvid Gördén; [2023]
    Keywords : Master thesis; Kubernetes; scaling; resource management; horizontal pod autoscaler; vertical scaling; machine learning; Masterarbete; Kubernetes; scaling; resurshantering; horisontell pod autoscaler; vertikal scaling; maskininlärning;

    Abstract : Cloud computing and containerization has been on the rise in recent years and have become important areas of research and development in the field of computer science. One of the challenges in distributed and cloud computing is to predict the resource utilization of the nodes that run the applications and services. READ MORE

  5. 5. The connection between the bow shock at Mercury and the interplanetary magnetic field

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

    Author : Erik Sellberg; [2023]
    Keywords : Mercury bow shock; Bow shock - interplanetary magnetic field interaction; MESSENGER; Merkurius bogchock; Växelverkan bogchock interplanetära magnetfältet; MESSENGER;

    Abstract : As the solar wind reaches Mercury it interacts with the planet’s magnetic field slowing down, forming a bow shock in front of the planet and diverting the flow around it. Along with the solar wind comes the interplanetary magnetic field, an extension of the sun’s magnetic field. READ MORE