Sökning: "Datacenter"
Visar resultat 21 - 25 av 102 uppsatser innehållade ordet Datacenter.
21. The impact of innovative ICT technologies on the power consumption and CO2 emission of HTTP servers
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : The ICT technologies and their adoption from the population are growing fast, and the energy that this industry requires has followed the same trend, even considering all the improvements in efficiency during the last decades. This is because the increment in data centers and information outpaces all the efficiencies that have been adopted over the years. LÄS MER
22. PALMCLOUD
Kandidat-uppsats, KTH/ArkitekturSammanfattning : Think about how much of the things you do daily that is online. So much of our everyday life wouldn’t be possible without online connection. We are becoming more and more dependent on always having access to information and we spend so much time online. LÄS MER
23. Comparative life cycle assessment of two desiccant wheel dehumidifiers with industrial application
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Humans spend around 80 percent of their lifetime indoors. The humidity level plays an essential part in indoor climate, both in non-industrial applications, such as thermal comfort, and industrial ones. Dehumidification is a technology in the field of thermal comfort and indoor climate to control humidity levels. LÄS MER
24. Locality-aware loadbalancing in a Service Mesh
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Most services today are developed with a microservice architecture where each component is deployed with multiple replicas on servers all over the world. When requests go between service components, the role of a load balancer is to route each request to the least loaded instance of the target component. LÄS MER
25. Artificial Intelligence for Data Center Power Consumption Optimisation
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknikSammanfattning : The aim of the project was to implement a machine learning model to optimise the power consumption of Ericsson’s Kista data center. The approach taken was to use a Reinforcement Learning agent trained in a simulation environment based on data specific to the data center. LÄS MER