Sökning: "QoS Evaluation"
Visar resultat 1 - 5 av 51 uppsatser innehållade orden QoS Evaluation.
1. An Evaluation of IoT Application Protocols
Kandidat-uppsats, Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)Sammanfattning : Hur vi människor kommer att leva i framtiden kan kraftigt påverkas utav konceptet Internet of Things. IoT erbjuder unika möjligheter för att hjälpa oss människor att automatisera och förenkla vissa ärenden. Även om koncpetet har funnits ett tag så har man fortfarande vilseledda åsikter kring potentialen med IoT. LÄS MER
2. Mobile Traffic Classification and Multi-Cell Base Station Control for Energy-Efficient 5G Networks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The global energy consumption of mobile networks is rapidly increasing due to the exponential growth of mobile network traffic. The advent of next-generation cellular technologies such as fifth-generation (5G) and beyond promises higher network throughput and lower latency but also demands higher power consumption for its denser base station (BS) deployment and more energy-intensive processors. LÄS MER
3. A Holistic Framework for Analyzing the Reliability of IoT Devices
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In the rapidly evolving landscape of the Internet of Things (IoT), ensuring consistency and reliability becomes a top priority for a seamless user experience. In many instances, reliability is assessed through Quality of Service (QoS) metrics, sidelining traditional reliability metrics that thrive on time-dependent failure rates. LÄS MER
4. Belief Rule-Based Workload Orchestration in Multi-access Edge Computing
Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : Multi-access Edge Computing (MEC) is a standard network architecture of edge computing, which is proposed to handle tremendous computation demands of emerging resource-intensive and latency-sensitive applications and services and accommodate Quality of Service (QoS) requirements for ever-growing users through computation offloading. Since the demand of end-users is unknown in a rapidly changing dynamic environment, processing offloaded tasks in a non-optimal server can deteriorate QoS due to high latency and increasing task failures. LÄS MER
5. Investigating Multi-Objective Reinforcement Learning for Combinatorial Optimization and Scheduling Problems : Feature Identification for multi-objective Reinforcement Learning models
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Reinforcement Learning (RL) has in recent years become a core method for sequential decision making in complex dynamical systems, being of great interest to support improvements in scheduling problems. This could prove important to areas in the newer generation of cellular networks. LÄS MER