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A systematic approach to constructing families of incremental topology control algorithms using graph transformation

Kluge, Roland ; Stein, Michael ; Varró, Gergely ; Schürr, Andy ; Hollick, Matthias ; Mühlhäuser, Max
Tichy, Matthias ; Bodden, Eric ; Kuhrmann, Marco ; Wagner, Stefan ; Steghöfer, Jan-Philipp (eds.) :

A systematic approach to constructing families of incremental topology control algorithms using graph transformation.
In: Software Engineering und Software Management 2018, 2018-03-06..09, Ulm. In: Lecture Notes in Informatics , P-279 . Bonn
[Konferenz- oder Workshop-Beitrag] , (2018)

Kurzbeschreibung (Abstract)

In this talk, we present results on integrating support for variability modeling into a correct-by-construction development methodology for topology control algorithms, as appeared online in the Software & Systems Modeling journal in 2017. A topology control algorithm reduces the size of the visible neighborhood of a node in a wireless communication network. At the same time, it must fulfill important consistency properties to ensure a high quality of service. In previous work, we proposed a constructive, model-driven methodology for designing individual topology control algorithms based on declarative graph constraints and graph transformation rules; the resulting algorithms are guaranteed to preserve the specified properties. Even though many topology control algorithms share substantial (structural) parts, few works leverage these commonalities at design time. In this work, we generalize our proposed construction methodology by modeling variability points to support the construction of families of algorithms. We show the applicability of our approach by reengineering six existing topology control algorithms and developing e-kTC, a novel energy-efficient variant of the topology control algorithm kTC. Finally, we evaluate a subset of the algorithms using a novel integration of a wireless network simulator and a graph transformation tool.

Typ des Eintrags: Konferenz- oder Workshop-Beitrag (Keine Angabe)
Erschienen: 2018
Herausgeber: Tichy, Matthias ; Bodden, Eric ; Kuhrmann, Marco ; Wagner, Stefan ; Steghöfer, Jan-Philipp
Autor(en): Kluge, Roland ; Stein, Michael ; Varró, Gergely ; Schürr, Andy ; Hollick, Matthias ; Mühlhäuser, Max
Titel: A systematic approach to constructing families of incremental topology control algorithms using graph transformation
Sprache: Englisch
Kurzbeschreibung (Abstract):

In this talk, we present results on integrating support for variability modeling into a correct-by-construction development methodology for topology control algorithms, as appeared online in the Software & Systems Modeling journal in 2017. A topology control algorithm reduces the size of the visible neighborhood of a node in a wireless communication network. At the same time, it must fulfill important consistency properties to ensure a high quality of service. In previous work, we proposed a constructive, model-driven methodology for designing individual topology control algorithms based on declarative graph constraints and graph transformation rules; the resulting algorithms are guaranteed to preserve the specified properties. Even though many topology control algorithms share substantial (structural) parts, few works leverage these commonalities at design time. In this work, we generalize our proposed construction methodology by modeling variability points to support the construction of families of algorithms. We show the applicability of our approach by reengineering six existing topology control algorithms and developing e-kTC, a novel energy-efficient variant of the topology control algorithm kTC. Finally, we evaluate a subset of the algorithms using a novel integration of a wireless network simulator and a graph transformation tool.

Buchtitel: Software Engineering und Software Management 2018
Reihe: Lecture Notes in Informatics
Band: P-279
Ort: Bonn
Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik > Echtzeitsysteme
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik
20 Fachbereich Informatik
20 Fachbereich Informatik > Sichere Mobile Netze
20 Fachbereich Informatik > Telekooperation
DFG-Sonderforschungsbereiche (inkl. Transregio)
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > A: Konstruktionsmethodik
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > A: Konstruktionsmethodik > Teilprojekt A1: Modellierung
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > C: Kommunikationsmechanismen
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > C: Kommunikationsmechanismen > Teilprojekt C1 : Netzzentrische Sicht
Veranstaltungstitel: Software Engineering und Software Management 2018
Veranstaltungsort: Ulm
Veranstaltungsdatum: 2018-03-06..09
Hinterlegungsdatum: 06 Mär 2018 18:31
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