OWL 2 Reasoning To Detect Energy-Efficient Software Variants From Context

Sebastian GoetzSebastian Goetz, Julian MendezJulian Mendez, Veronika ThostVeronika Thost, Anni-Yasmin TurhanAnni-Yasmin Turhan

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Sebastian Goetz, Julian Mendez, Veronika Thost, Anni-Yasmin Turhan
OWL 2 Reasoning To Detect Energy-Efficient Software Variants From Context
In Kavitha Srinivas and Simon Jupp, eds., Proceedings of the 10th OWL: Experiences and Directions Workshop (OWLED 2013), May 2013

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KurzfassungAbstract
Runtime variability management of component-based software systems allows to consider the current context of a system for system configuration to achieve energy-efficiency. For optimizing the system configuration at runtime, the early recognition of situations apt to reconfiguration is an important task. To describe these situations on differing levels of detail and to allow their recognition even if only incomplete information is available, we employ the ontology language OWL 2 and the reasoning services defined for it. In this paper, we show that the relevant situations for optimizing the current system configuration can be modeled in the different OWL 2 profiles. We further provide a case study on the performance of state of the art OWL 2 reasoning systems for answering concept queries and conjunctive queries modeling the situations to be detected.
Projekt:Project: HAEC B02
Forschungsgruppe:Research Group: AutomatentheorieAutomata Theory

@inproceedings{ GoMeT13,
  address = {Montpellier, France},
  author = {Sebastian {Goetz} and Julian {Mendez} and Veronika {Thost} and Anni-Yasmin {Turhan}},
  booktitle = {Proceedings of the 10th OWL: Experiences and Directions Workshop (OWLED 2013)},
  editor = {Kavitha {Srinivas} and Simon {Jupp}},
  month = {May},
  title = {OWL 2 Reasoning To Detect Energy-Efficient Software Variants From Context},
  year = {2013},
}