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Towards an Adaptive Selection of Loss Estimation Techniques in Software-defined Networks

Hark, Rhaban and Richerzhagen, Nils and Richerzhagen, Björn and Rizk, Amr and Steinmetz, Ralf :
Towards an Adaptive Selection of Loss Estimation Techniques in Software-defined Networks.
In: Proc. 16th IFIP Networking 2017 Conference (NETWORKING'17). IEEE
[Conference or Workshop Item] , (2017)

Abstract

Next generation Software-defined Networks (SDN) aim at deeply programmable switches which can be leveraged by SDN controllers to offload self-contained, logically persistent tasks. One such task is flow and network monitoring, specifically, fault detection and loss estimation, which is essential for SDN applications that provide quality of service guarantees under network dynamics. In this work, we devise, implement, and evaluate fault detection and loss estimation techniques built upon tasks devolved to SDN switches. Subsequently, we contribute (i) an analysis and empirical evaluation of the benefits and costs of different packet loss estimators depending on the network conditions; (ii) a case study showing how an adaptive monitoring framework which flexibly exchanges the estimation techniques would retain a thoroughly good fidelity while optimizing the monitoring costs.

Item Type: Conference or Workshop Item
Erschienen: 2017
Creators: Hark, Rhaban and Richerzhagen, Nils and Richerzhagen, Björn and Rizk, Amr and Steinmetz, Ralf
Title: Towards an Adaptive Selection of Loss Estimation Techniques in Software-defined Networks
Language: English
Abstract:

Next generation Software-defined Networks (SDN) aim at deeply programmable switches which can be leveraged by SDN controllers to offload self-contained, logically persistent tasks. One such task is flow and network monitoring, specifically, fault detection and loss estimation, which is essential for SDN applications that provide quality of service guarantees under network dynamics. In this work, we devise, implement, and evaluate fault detection and loss estimation techniques built upon tasks devolved to SDN switches. Subsequently, we contribute (i) an analysis and empirical evaluation of the benefits and costs of different packet loss estimators depending on the network conditions; (ii) a case study showing how an adaptive monitoring framework which flexibly exchanges the estimation techniques would retain a thoroughly good fidelity while optimizing the monitoring costs.

Publisher: IEEE
Uncontrolled Keywords: Monitoring, Loss Estimation, SDN, Adaptive Selection, B1E, B4, C2, C3
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering
18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering > Multimedia Communications
DFG-Collaborative Research Centres (incl. Transregio)
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres
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
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > B: Adaptation Mechanisms > Subproject B4: Planning
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > C: Communication Mechanisms
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > C: Communication Mechanisms > Subproject C2: Information-centred perspective
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > C: Communication Mechanisms > Subproject C3: Content-centred perspective
Event Title: Proc. 16th IFIP Networking 2017 Conference (NETWORKING'17)
Date Deposited: 19 Oct 2017 12:20
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