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ThinkMind // ICAS 2019, The Fifteenth International Conference on Autonomic and Autonomous Systems // View article icas_2019_5_10_20008


Organic Self-Adaptable Real-Time Applications

Authors:
Lial Khaluf
Franz-Josef Rammig

Keywords: Real-time cell; variant; organic programming; opti- mization, self-adaptability.

Abstract:
Computing systems are tending nowadays to get in- spired their behavior from organic systems. Approaches have been published to develop a system behavior with the potential to react to environments. In the real-time domain, such approaches are still very rare and limited. In this paper, we provide an approach, which is able to adapt at run time and at the same time preserving all real-time constraints. In accordance to the concept of ”Organic Programming”, we make use of the concept of cells. A cell is an extension of a task allowing its adaptation. Cells exist by means of classes, which consist of a limited set of cell variants. All variants of a cell share the same fundamental functionality, however under different computing time demands and different costs. Our approach consists of an adaptation algorithm that on its part behaves as a real-time cell. Under the assumption that the ecosystem of the real-time environment is given in form of a set of real-time cells, each one with multiple variants, it provides a selection mechanism in the space of this ecosystem. System goals aim to reduce system costs under the constraint of meeting all real-time requirements.

Pages: 65 to 71

Copyright: Copyright (c) IARIA, 2019

Publication date: June 2, 2019

Published in: conference

ISSN: 2308-3913

ISBN: 978-1-61208-712-2

Location: Athens, Greece

Dates: from June 2, 2019 to June 6, 2019

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