Taming Energy Consumption Variations in Systems Benchmarking

Ournani, Zakaria; Belgaid, Mohammed Chakib; Rouvoy, Romain; Rust, Pierre; Penhoat, Joël; Seinturier, Lionel

Type de document :

Communication dans un congrès avec actes

DOI :

10.1145/3358960.3379142

Titre :

Taming Energy Consumption Variations in Systems Benchmarking

Auteur(s) :

Ournani, Zakaria [Auteur]
Self-adaptation for distributed services and large software systems [SPIRALS]
Orange Labs R&D [Rennes]
Belgaid, Mohammed Chakib [Auteur]
Self-adaptation for distributed services and large software systems [SPIRALS]
Rouvoy, Romain [Auteur]

Institut universitaire de France [IUF]
Self-adaptation for distributed services and large software systems [SPIRALS]
Rust, Pierre [Auteur]
Orange Labs R&D [Rennes]
Penhoat, Joël [Auteur]
Orange Labs [Lannion]
Seinturier, Lionel [Auteur]

Self-adaptation for distributed services and large software systems [SPIRALS]

Éditeur(s) ou directeur(s) scientifique(s) :

Catia Trubiani
Alexandru Iosup

Titre de la manifestation scientifique :

ICPE'2020 - 11th ACM/SPEC International Conference on Performance Engineering

Ville :

Edmonton

Pays :

Canada

Date de début de la manifestation scientifique :

2020-04-20

Mot(s)-clé(s) en anglais :

Energy Variations
System Benchmarking
Energy Consumption
Energy Efficiency

Discipline(s) HAL :

Informatique [cs]/Performance et fiabilité [cs.PF]

Résumé en anglais : [en]

The past decade witnessed the inclusion of power measurements to evaluate the energy efficiency of software systems, thus making energy a prime indicator along with performance. Nevertheless, measuring the energy consumption ...
Lire la suite >The past decade witnessed the inclusion of power measurements to evaluate the energy efficiency of software systems, thus making energy a prime indicator along with performance. Nevertheless, measuring the energy consumption of a software system remains a tedious task for practitioners. In particular, the energy measurement process may be subject to a lot of variations that hinder the relevance of potential comparisons. While the state of the art mostly acknowledged the impact of hardware factors (chip printing process, CPU temperature), this paper investigates the impact of controllable factors on these variations. More specifically, we conduct an empirical study of multiple controllable parameters that one can easily tune to tame the energy consumption variations when benchmarking software systems.To better understand the causes of such variations, we ran more than a 1000 experiments on more than 100 machines with different workloads and configurations. The main factors we studied encompass: experimental protocol, CPU features (C-states, Turbo~Boost, core pinning) and generations, as well as the operating system. Our experiments showed that, for some workloads, it is possible to tighten the energy variation by up to 30×. Finally, we summarize our results as guidelines to tame energy consumption variations. We argue that the guidelines we deliver are the minimal requirements to be considered prior to any energy efficiency evaluationLire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL

Fichiers

https://hal.inria.fr/hal-02403379/document
Accès libre
Accéder au document

https://hal.inria.fr/hal-02403379/document
Accès libre
Accéder au document

https://hal.inria.fr/hal-02403379/document
Accès libre
Accéder au document

document
Accès libre
Accéder au document

ournani-icpe-20.pdf
Accès libre
Accéder au document

ournani-icpe-20.pdf
Accès libre
Accéder au document

document
Accès libre
Accéder au document

ournani-icpe-20.pdf
Accès libre
Accéder au document

Taming Energy Consumption Variations in ... BibTeX CSV Excel RIS

Fichiers

Taming Energy Consumption Variations in ...

BibTeX

CSV

Excel

RIS