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A Classification of Locality in Network Research

Stein, Michael ; Fischer, Mathias ; Schweizer, Immanuel ; Mühlhäuser, Max (2017)
A Classification of Locality in Network Research.
In: ACM Computing Surveys, 50 (4)
doi: 10.1145/3092693
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

Limiting the knowledge of individual nodes is a major concern for the design of distributed algorithms. With the LOCAL model, theoretical research already established a common model of locality that has gained little practical relevance. As a result, practical research de facto lacks any common locality model. The only common denominator among practitioners is that a local algorithm is distributed with a restricted scope of interaction. This article closes the gap by introducing four practically motivated classes of locality that successively weaken the strict requirements of the LOCAL model. These classes are applied to categorize and survey 36 local algorithms from 12 different application domains. A detailed comparison shows the practicality of the classification and provides interesting insights. For example, the majority of algorithms limit the scope of interaction to at most two hops, independent of their locality class. Moreover, the application domain of algorithms tends to influence their degree of locality.

Typ des Eintrags: Artikel
Erschienen: 2017
Autor(en): Stein, Michael ; Fischer, Mathias ; Schweizer, Immanuel ; Mühlhäuser, Max
Art des Eintrags: Bibliographie
Titel: A Classification of Locality in Network Research
Sprache: Englisch
Publikationsjahr: November 2017
Verlag: ACM
Titel der Zeitschrift, Zeitung oder Schriftenreihe: ACM Computing Surveys
Jahrgang/Volume einer Zeitschrift: 50
(Heft-)Nummer: 4
DOI: 10.1145/3092693
Kurzbeschreibung (Abstract):

Limiting the knowledge of individual nodes is a major concern for the design of distributed algorithms. With the LOCAL model, theoretical research already established a common model of locality that has gained little practical relevance. As a result, practical research de facto lacks any common locality model. The only common denominator among practitioners is that a local algorithm is distributed with a restricted scope of interaction. This article closes the gap by introducing four practically motivated classes of locality that successively weaken the strict requirements of the LOCAL model. These classes are applied to categorize and survey 36 local algorithms from 12 different application domains. A detailed comparison shows the practicality of the classification and provides interesting insights. For example, the majority of algorithms limit the scope of interaction to at most two hops, independent of their locality class. Moreover, the application domain of algorithms tends to influence their degree of locality.

Freie Schlagworte: Local algorithms, localized algorithms
Zusätzliche Informationen:

Art.No.: 53

Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
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
Hinterlegungsdatum: 10 Sep 2017 14:41
Letzte Änderung: 19 Aug 2021 10:49
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