Sökning: "Mobile Edge Cloud"

Visar resultat 1 - 5 av 17 uppsatser innehållade orden Mobile Edge Cloud.

  1. 1. Probabilistic Multi-Modal Data Fusion and Precision Coordination for Autonomous Mobile Systems Navigation : A Predictive and Collaborative Approach to Visual-Inertial Odometry in Distributed Sensor Networks using Edge Nodes

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

    Författare :Isabella Luppi; [2023]
    Nyckelord :Distributed Sensor Networks; Point Cloud Processing; Bounding Box Fitting; Trajectory Tracking; Distributed Estimation; Predictive Estimation; Edge-Computing; Reti di Sensori Distribuiti; Elaborazione di Nuvole di Punti; Riquadri di Delimitazione; Tracciamento della Traiettoria; Stima Distribuita; Stima Predittiva; Calcolo Distribuito.; Distribuerade Sensornätverk; Bearbetning av Punktmoln; Anpassning av Begränsningsruta; Trajektorieuppföljning; Distribuerad Uppskattning; Prediktiv Uppskattning; Edge-datorbehandling;

    Sammanfattning : This research proposes a novel approach for improving autonomous mobile system navigation in dynamic and potentially occluded environments. The research introduces a tracking framework that combines data from stationary sensing units and on-board sensors, addressing challenges of computational efficiency, reliability, and scalability. LÄS MER

  3. 2. Robotics Approach in Mobile Laser Scanning : Generation of Georeferenced Point-based Forest Models

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

    Författare :Tamas Faitli; [2023]
    Nyckelord :mobile laser scanning; rotating lidar; slam; real-time positioning; georeferencing; state estimation; lidar odometry; point-based forest model; forest harvester; forestry; mobil laserskanning; roterande lidar; slam; realtidspositionering; georeferens; tillståndsuppskattning; lidarodometri; punktbaserad skogsmodell; skogsskördare; skogsbruk;

    Sammanfattning : A mobile laser scanning (MLS) system equipped with a lidar, inertial navigation system and satellite positioning can be used to reconstruct georeferenced point-based models of the surveyed environments. Ideal reconstruction requires accurate trajectories that are challenging to obtain in forests. LÄS MER

  4. 3. Congestion Control with Service Mesh for Edge Cloud Traffic

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

    Författare :Tatiana Barrios; [2022]
    Nyckelord :5G Networks; Mobile Edge Cloud; Service Mesh; Quality of Service; Traffic Management; Congestion control; Rate limiting; 5G Networks; Mobile Edge Cloud; Service Mesh; Quality of Service; Traffic Management; Congestion control; Rate limiting;

    Sammanfattning : The Mobile Edge Cloud aims to expand the cloud network by making it distributed and closer to the end user. However, traffic management becomes a complex and unresolved problem, because the edge cloud needs to consider multiple locations with different computational resources. LÄS MER

  5. 4. Constraint based network communications in a virtual environment of a proprietary hardware

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Saaish Bhonagiri; Soumith Kumar Mudugonda; [2022]
    Nyckelord :Network communication; SR-IOV; OVS DPDK; MPI; OpenStack; Kubernetes;

    Sammanfattning : The specialized hardware remains a key component of the mobile networks, but at the same time, the telecom industry is adapting a vision of a fully programable distributed end-to-end network with cloud style management and Software-Defined Networking. In the specialized hardware programmable network, it will be possible to place workloads across abstracted compute and networking infrastructure. LÄS MER

  7. 5. Candidate generation for relocation of black box applications in mobile edge computing environments

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

    Författare :Love Walden; [2022]
    Nyckelord :End-to-end latency; WebRTC; Mobile edge computing; Quality of Experience detection; Public cloud; Ändpunkt till ändpunkt latens; WebRTC; Mobile edge computing; Upplevelsekvalitets detektion; Molntjänster;

    Sammanfattning : Applications today are generally deployed in public cloud environments such as Azure, AWS etc. Mobile edge computing (MEC) enables these applications to be relocated to edge nodes which are located in close proximity to the end user, thereby allowing the application to serve the user at lower latency. LÄS MER