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Coordination of Independent Loops in Self-Adaptive Systems

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Author

  • 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.

Publishing year

2014

Language

English

Pages

12-16

Publication/Series

ACM Transactions on Reconfigurable Technology and Systems

Volume

7

Issue

2

Document type

Journal article

Publisher

Association for Computing Machinery (ACM)

Topic

  • Control Engineering

Status

Published

Research group

  • LCCC

ISBN/ISSN/Other

  • ISSN: 1936-7406