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Coordination of Independent Loops in Self-Adaptive Systems

Författare

  • Jacopo Panerati
  • Martina Maggio
  • Matteo Carminati
  • Filippo Sironi
  • Marco Triverio
  • Marco Domenico Santambrogio

Summary, in English

Nowadays, the same piece of code should run on different architectures, providing performance guarantees in a variety of environments and situations. To this end, designers often integrate existing systems with ad-hoc adaptive strategies able to tune specific parameters that impact performance or energy—for example, frequency scaling. However, these strategies interfere with one another and unpredictable performance degradation may occur due to the interaction between different entities. In this article, we propose a software approach to reconfiguration when different strategies, called loops, are encapsulated in the system and are available to be activated. Our solution to loop coordination is based on machine learning and it selects a policy for the activation of loops inside of a system without prior knowledge. We implemented our solution on top of GNU/Linux and evaluated it with a significant subset of the PARSEC benchmark suite.

Publiceringsår

2014

Språk

Engelska

Sidor

12-16

Publikation/Tidskrift/Serie

ACM Transactions on Reconfigurable Technology and Systems

Volym

7

Issue

2

Dokumenttyp

Artikel i tidskrift

Förlag

Association for Computing Machinery (ACM)

Ämne

  • Control Engineering

Status

Published

Forskningsgrupp

  • LCCC

ISBN/ISSN/Övrigt

  • ISSN: 1936-7406