Organic Computing (OC) systems adapt to changes in the system or environment to maintain system performance. Therefore, those systems integrate a control part, which can be implemented centralized (globally) or decentralized (locally)—mixed (hybrid) approaches are feasible. When determining the performance of such a system, various metrics can be observed, which generally cluster in system-specific and adaptation metrics. Whereas the first category is domain-specific and measures the system’s performance, the second measures the adaptation performance and can be used system-independently for evaluating OC systems. In this paper, we present a measurement framework that takes into account this split in quality attributes. We show how to apply the measurement framework in a hybrid OC system based on the example of platooning coordination.

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A Measurement Framework at Global and Local Levels for Hybrid Organic Computing Systems

  • Jonas Lange,
  • Pia Schweizer,
  • Elia Henrichs,
  • Luna Kaendler,
  • Sven Tomforde,
  • Christian Krupitzer

摘要

Organic Computing (OC) systems adapt to changes in the system or environment to maintain system performance. Therefore, those systems integrate a control part, which can be implemented centralized (globally) or decentralized (locally)—mixed (hybrid) approaches are feasible. When determining the performance of such a system, various metrics can be observed, which generally cluster in system-specific and adaptation metrics. Whereas the first category is domain-specific and measures the system’s performance, the second measures the adaptation performance and can be used system-independently for evaluating OC systems. In this paper, we present a measurement framework that takes into account this split in quality attributes. We show how to apply the measurement framework in a hybrid OC system based on the example of platooning coordination.