Implementation and evaluation of profile-based prediction for energy consumption in a cloud platform
This project uses a datacenter simulator to present the main steps to optimize the resources and decrease the energy consumption of a real infrastructure. Some scheduling algorithms are compared by different criteria, and a model is built to predict the energy based in some predefined scenarios.
| Autor: | |
|---|---|
| Formato: | tesis de maestría |
| Fecha de publicación: | 2017 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/114454 |
| Acesso em linha: | https://hdl.handle.net/2117/114454 |
| Access Level: | acceso abierto |
| Palavra-chave: | Cloud computing Electronic data processing -- Distributes processing Energy consumption CloudSim núvol centre de dades energia modelatge algoritmes cloud datacenter energy modeling scheduling algorithms Computació en núvol Processament distribuït de dades Energia -- Consum Àrees temàtiques de la UPC::Informàtica::Informàtica teòrica::Algorísmica i teoria de la complexitat |
| Resumo: | This project uses a datacenter simulator to present the main steps to optimize the resources and decrease the energy consumption of a real infrastructure. Some scheduling algorithms are compared by different criteria, and a model is built to predict the energy based in some predefined scenarios. |
|---|