Richerzhagen, Nils ; Li, Tao ; Stingl, Dominik ; Richerzhagen, Björn ; Steinmetz, Ralf ; Santini, Silvia (2015)
A Step Towards a Protocol-Independent Measurement Framework for Dynamic Networks.
40th Annual IEEE Conference on Local Computer Networks (LCN 2015).
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Existing measurement frameworks typically assume that the communication protocols and mechanisms running on the devices do not change during network operation. However, recent research efforts show that by enabling devices to switch between protocols and mechanisms at runtime the overall network performance can be improved. In this paper, a novel measurement framework that enables the continuous and consistent measurement of monitoring metrics even across such adaptations in networks is presented. The framework exploits monitoring metrics locally on the devices (i) irrespectively of the used mechanisms or protocols on the devices and (ii) allows other mechanisms and applications in the network to adapt to changes by referring monitoring information from the framework. A proof-of-concept prototype of the measurement framework is used to show that the work represents a promising step towards protocol-independent, adaptive monitoring in dynamic networks.
Typ des Eintrags: | Konferenzveröffentlichung |
---|---|
Erschienen: | 2015 |
Autor(en): | Richerzhagen, Nils ; Li, Tao ; Stingl, Dominik ; Richerzhagen, Björn ; Steinmetz, Ralf ; Santini, Silvia |
Art des Eintrags: | Bibliographie |
Titel: | A Step Towards a Protocol-Independent Measurement Framework for Dynamic Networks |
Sprache: | Englisch |
Publikationsjahr: | Oktober 2015 |
Veranstaltungstitel: | 40th Annual IEEE Conference on Local Computer Networks (LCN 2015) |
Kurzbeschreibung (Abstract): | Existing measurement frameworks typically assume that the communication protocols and mechanisms running on the devices do not change during network operation. However, recent research efforts show that by enabling devices to switch between protocols and mechanisms at runtime the overall network performance can be improved. In this paper, a novel measurement framework that enables the continuous and consistent measurement of monitoring metrics even across such adaptations in networks is presented. The framework exploits monitoring metrics locally on the devices (i) irrespectively of the used mechanisms or protocols on the devices and (ii) allows other mechanisms and applications in the network to adapt to changes by referring monitoring information from the framework. A proof-of-concept prototype of the measurement framework is used to show that the work represents a promising step towards protocol-independent, adaptive monitoring in dynamic networks. |
ID-Nummer: | MAKI-2015-020 |
Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik > Multimedia Kommunikation Zentrale Einrichtungen 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 > B: Adaptionsmechanismen DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > B: Adaptionsmechanismen > Teilprojekt B1: Monitoring und Analyse 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche DFG-Sonderforschungsbereiche (inkl. Transregio) |
Hinterlegungsdatum: | 04 Aug 2015 09:20 |
Letzte Änderung: | 20 Apr 2016 16:50 |
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