Rapid runtime power and performance profiling of large scale applications

  1. Salinas Hilburg, Juan Carlos
Supervised by:
  1. José Luis Ayala Rodrigo Director
  2. Marina Zapater Sancho Director
  3. José Manuel Moya Fernández Director

Defence university: Universidad Complutense de Madrid

Fecha de defensa: 19 January 2021

Committee:
  1. Francisco Daniel Igual Peña Chair
  2. Alberto A. del Barrio García Secretary
  3. Francisco Javier García Blas Committee member
  4. Patricia Arroba García Committee member
  5. Giovanni Ansaloni Committee member
Department:
  1. Arquitectura de Computadores y Automática

Type: Thesis

Teseo: 155174 DIALNET lock_openDocta Complutense editor

Abstract

Data centers are one of the most power hungry sections of the Information and Communications Technologies (ICT) sector. In the U.S. in 2014, data centers consumed around the 1.8% of the total U.S. electricity consumption. Worldwide data centers consumed in 2015 around 200 TWh of the global electricity usage. This electricity consumption is expected to increase to around 1200 TWh in 2025, which would represent 4.% of the global electricity usage. One of the mejor contributors to the overall data center power is the IT or computing power, therefore there is a special interest to imporve its energy efficiency. Scientific community has developed energy efficient techniques to reduce the energy consumption of IT equipment, such as resource management, power budgeting or power capping...