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TCEP: Transitions in operator placement to adapt to dynamic network environments

Luthra, Manisha ; Koldehofe, Boris ; Danger, Niels ; Weisenburger, Pascal ; Salvaneschi, Guido ; Stavrakakis, Ioannis (2021)
TCEP: Transitions in operator placement to adapt to dynamic network environments.
In: Journal of Computer and System Sciences, 122
doi: 10.1016/j.jcss.2021.05.003
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

Distributed Complex Event Processing (DCEP) is a commonly used paradigm to detect and act on situational changes of many applications, including the Internet of Things (IoT). DCEP achieves this using a simple specification of analytical tasks on data streams called operators and their distributed execution on a set of infrastructure. The adaptivity of DCEP to the dynamics of IoT applications is essential and very challenging in the face of changing demands concerning Quality of Service. In our previous work, we addressed this issue by enabling transitions, which allow for the adaptive use of operator placement mechanisms. In this article, we extend the transition methodology by optimizing the costs of transition and analyzing the behavior using multiple operator placement mechanisms. Furthermore, we provide an extensive evaluation on the costs of transition imposed by operator migrations and learning, as it can inflict overhead on the performance if operated uncoordinatedly.

Typ des Eintrags: Artikel
Erschienen: 2021
Autor(en): Luthra, Manisha ; Koldehofe, Boris ; Danger, Niels ; Weisenburger, Pascal ; Salvaneschi, Guido ; Stavrakakis, Ioannis
Art des Eintrags: Bibliographie
Titel: TCEP: Transitions in operator placement to adapt to dynamic network environments
Sprache: Englisch
Publikationsjahr: Dezember 2021
Verlag: Elsevier
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Journal of Computer and System Sciences
Jahrgang/Volume einer Zeitschrift: 122
DOI: 10.1016/j.jcss.2021.05.003
URL / URN: https://www.sciencedirect.com/science/article/pii/S002200002...
Kurzbeschreibung (Abstract):

Distributed Complex Event Processing (DCEP) is a commonly used paradigm to detect and act on situational changes of many applications, including the Internet of Things (IoT). DCEP achieves this using a simple specification of analytical tasks on data streams called operators and their distributed execution on a set of infrastructure. The adaptivity of DCEP to the dynamics of IoT applications is essential and very challenging in the face of changing demands concerning Quality of Service. In our previous work, we addressed this issue by enabling transitions, which allow for the adaptive use of operator placement mechanisms. In this article, we extend the transition methodology by optimizing the costs of transition and analyzing the behavior using multiple operator placement mechanisms. Furthermore, we provide an extensive evaluation on the costs of transition imposed by operator migrations and learning, as it can inflict overhead on the performance if operated uncoordinatedly.

Freie Schlagworte: Complex event processing, Operator placement, Migrations, Adaptations, Transitions, Dynamic network environment, Internet of Things
Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik > Multimedia Kommunikation
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 > C: Kommunikationsmechanismen
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > C: Kommunikationsmechanismen > Teilprojekt C2: Informationszentrische Sicht
Hinterlegungsdatum: 05 Okt 2021 12:14
Letzte Änderung: 03 Mär 2022 10:42
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