DocumentCode :
2738596
Title :
Observing software-defined networks using a decentralized link monitoring approach
Author :
Steinert, Rebecca ; Hess, Andrea
Author_Institution :
Decisions, Networks & Analytics (DNA) Lab., Swedish Inst. of Comput. Sci., Kista, Sweden
fYear :
2015
fDate :
13-17 April 2015
Firstpage :
1
Lastpage :
5
Abstract :
Scalable and automated monitoring processes for testing, debugging, and operation of VNFs and service-chains are crucial components towards achieving the aims of network softwarization - i.e., cheaper, faster, and shorter service deployment and network management processes. In this paper we present a decentralized monitoring approach aimed at supporting automated deployment and operation of VNFs and service-chains. The approach is inspired by network tomography and is designed to address observability limitations and scalability issues that arise from performing measurements from an SDN controller. From successive end-to-end measurements link metrics are derived via in-network parameter estimation with no need of forwarding raw measurements to the controller, which significantly reduces the measurement overhead compared to when monitoring individual links explicitly from an SDN controller.
Keywords :
parameter estimation; software defined networking; telecommunication network management; SDN controller; VNF debugging; VNF operation; VNF testing; automated deployment; automated monitoring processes; decentralized link monitoring approach; decentralized monitoring approach; end-to-end measurements link metrics; in-network parameter estimation; network management processes; network softwarization; network tomography; scalable monitoring processes; service-chains; software-defined networks; Accuracy; Delays; Loss measurement; Monitoring; Radiation detectors; Receivers; Switches; link delay and loss modelling; performance monitoring; probabilistic management; software-defined networking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network Softwarization (NetSoft), 2015 1st IEEE Conference on
Conference_Location :
London
Type :
conf
DOI :
10.1109/NETSOFT.2015.7116137
Filename :
7116137
Link To Document :
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