Sökning: "Linux Scheduling"
Visar resultat 1 - 5 av 18 uppsatser innehållade orden Linux Scheduling.
1. Reducing CPU scheduler latency in Linux
Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : CPU schedulers are an integral part of all operating systems used in modern systems, as they enable efficient task execution. In recent years the demand for interactive tasks such as video playback, streaming and gaming has increased rapidly. LÄS MER
2. Linux CPU Schedulers: CFS and MuQSS Comparison
Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : The goal of this thesis is to compare two process schedulers for the Linux operating system. In order to provide a responsive and interactive user experience, an efficient process scheduling algorithm is important. This thesis seeks to explain the potential performance differences by analysing the schedulers' respective designs. LÄS MER
3. Real-time Scheduling in Datacentre Clusters
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Industry 4.0 can be described as the next generation-factories that is characterised by putting a high demand for automation and flexible production lines. The proposed way to achieve this goal is through a large number of Industrial IoT devices(IIoT) in the factory, some having high availability- and low-latency requirements. LÄS MER
4. Real-time audio processing for an embedded Linux system using a dual-kernel approach
Master-uppsats, KTH/Nätverk och systemteknikSammanfattning : Professional audio processing systems such as digital musical instruments, audiomixers, etc. must operate with very tight constraints on overall processing latencyand CPU performance. LÄS MER
5. RT-Bench, Improved Understanding of Application Performance with Memory Storage
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknikSammanfattning : By implementing efficient and smart schedulers in our software systems with multiple threads we can make applications run faster and much more efficiently. There is however a lot of caution when adopting and implementing scheduling algorithms, like limited preemptive scheduling or PD2, due to the uncertainty they may cause on advanced and complex systems. LÄS MER