Essays about: "internet as a network of networks"

Showing result 6 - 10 of 354 essays containing the words internet as a network of networks.

  1. 6. Prediction Models for TV Case Resolution Times with Machine Learning

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

    Author : Borja Javierre I Moyano; [2023]
    Keywords : Datasets; Machine Learning ML ; Prediction; Resolution Time RT ; Solve Time; TV Cases; Trouble Tickets TT ; Customer-Related Trouble Tickets Resolution Time; CRM system; BI system; Telecommunications; Dataset; Machine Learning ML ; Prediction; Resolution Time; Solve Time; TV Cases; Trouble Tickets TT ; Kundrelaterade problem Tickets Resolution tid; CRM-system; BI-system; Telekommunikationer.;

    Abstract : TV distribution and stream content delivery of video over the Internet, since is made up of complex networks including Content Delivery Networks (CDNs), cables and end-point user devices, that is very prone to issues appearing in different levels of the network ending up affecting the final customer’s TV services. When a problem affects the customer, and this prevents from having a proper TV delivery service in devices used for stream purposes, the issue is reported through a call, a TV case is opened and the company’s customer handling agents start supervising it to solve the problem as soon as possible. READ MORE

  2. 7. Federated Machine Learning for Resource Allocation in Multi-domain Fog Ecosystems

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Weilin Zhang; [2023]
    Keywords : Workload Allocation; Federated Learning; Deep Q-network; Fog networks; Federated Average Aggregation;

    Abstract : The proliferation of the Internet of Things (IoT) has increasingly demanded intimacy between cloud services and end-users. This has incentivised extending cloud resources to the edge in what is deemed fog computing. The latter is manifesting as an ecosystem of connected clouds, geo-dispersed and of diverse capacities. READ MORE

  3. 8. Anomaly Detection for Network Traffic in a Resource Constrained Environment

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Pontus Lidholm; Gaia Ingletto; [2023]
    Keywords : Network Traffic; Anomaly Detection; Embedded Systems; Machine Learning; Random Forest;

    Abstract : Networks connected to the internet are under a constant threat of attacks. To protect against such threats, new techniques utilising already connected hardware have in this thesis been proven to be a viable solution. READ MORE

  4. 9. Evaluating the use of clock frequency ratio estimators in the playout from video distribution networks

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

    Author : Emil Myresten; [2023]
    Keywords : Clock Frequency Ratio Estimator; Real-time Transport Protocol; RTP; Video Distribution Network; Playout Scheduling; Clock Skew; Clock Synchronization; Uppskattning av klockfrekvensratio; Real-time Transport Protocol; RTP; Distributionsnätverk för video; Utspelningsschemaläggare; Klockskevning; Klocksynkronisering;

    Abstract : As traditional TV-broadcasters utilize the Internet to transport video streams, they often employ third party distribution networks to ensure that the Quality of Service of the packet stream remain high. In the last step of such a distribution network, a playout scheduler will schedule the packets so that their intervals are as close as possible to the intervals with which they were initially sent by the source. READ MORE

  5. 10. Performance Evaluation of LoRa networks for Air-to-Ground Communications

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

    Author : Kiana Khorsandi; Sareh Jalalizad; [2023]
    Keywords : IoT; LPWAN; LoRaWan; UAV; LAP; Bit error rate; Line of sight;

    Abstract : The current focus on the Internet of Things (IoT) has led to the emergence of many network scenarios with unlimited use cases, including smart homes, smart cities, smart agriculture, and more. Unmanned aerial vehicles (UAVs), also known as drones, have become increasingly popular due to their versatility and ability to collect and transmit data through various sensors and cameras. READ MORE