Metronome: Operating system level performance management via self-adaptive computing

Filippo Sironi*, Davide B. Bartolini, Simone Campanoni, Fabio Cancare, Henry Hoffmann, Donatella Sciuto, Marco D. Santambrogio

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

29 Scopus citations

Abstract

In this paper, we present Metronome: a framework to enhance commodity operating systems with self-adaptive capabilities. The Metronome framework features two distinct components: Heart Rate Monitor (HRM) and Performance - Aware Fair Scheduler (PAFS). HRM is an active monitoring infrastructure implementing the observe phase of a self - adaptive computing system Observe - Decide - Act (ODA) control loop, while PAFS is an adaptation policy implementing the decide and act phases of the control loop. Metronome was designed and developed looking towards multi - core processors; therefore, its experimental evaluation has been carried on with the PARSEC 2.1 benchmark suite.

Original languageEnglish (US)
Title of host publicationProceedings of the 49th Annual Design Automation Conference, DAC '12
Pages856-865
Number of pages10
DOIs
StatePublished - Jul 11 2012
Event49th Annual Design Automation Conference, DAC '12 - San Francisco, CA, United States
Duration: Jun 3 2012Jun 7 2012

Other

Other49th Annual Design Automation Conference, DAC '12
CountryUnited States
CitySan Francisco, CA
Period6/3/126/7/12

Keywords

  • operating systems
  • performance management
  • self-adaptive computing

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modeling and Simulation

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