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A Step Towards a Protocol-Independent Measurement Framework for Dynamic Networks

Richerzhagen, Nils and Li, Tao and Stingl, Dominik and Richerzhagen, Björn and Steinmetz, Ralf and Santini, Silvia (2015):
A Step Towards a Protocol-Independent Measurement Framework for Dynamic Networks.
In: 40th Annual IEEE Conference on Local Computer Networks (LCN 2015), [Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2015
Creators: Richerzhagen, Nils and Li, Tao and Stingl, Dominik and Richerzhagen, Björn and Steinmetz, Ralf and Santini, Silvia
Title: A Step Towards a Protocol-Independent Measurement Framework for Dynamic Networks
Language: English
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.

Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering > Multimedia Communications
Zentrale Einrichtungen
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > B: Adaptation Mechanisms
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > B: Adaptation Mechanisms > Subpproject B1: Monitoring and Analysis
18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres
DFG-Collaborative Research Centres (incl. Transregio)
Event Title: 40th Annual IEEE Conference on Local Computer Networks (LCN 2015)
Date Deposited: 04 Aug 2015 09:20
Identification Number: MAKI-2015-020
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