Title
An Ontology-Based Information Extraction System for bridging the configuration gap in hybrid SDN environments
Abstract
Hybrid Software-Defined Networks (SDNs) are growing at a remarkable speed, so network administrators need to deal with the configuration of a plethora of devices including OpenFlow elements, traditional equipment, and nodes supporting both OpenFlow and traditional features. The OpenFlow Management and Configuration Protocol (OF-CONFIG) is positioned as a solid candidate for the remote configuration of OpenFlow devices, but the fact that OF-CONFIG relies on NETCONF for its transport constrains its potential considerably. Indeed, the lack of comprehensive and standardized data models has hindered the utilization of NETCONF itself in traditional networks, and will likely confine OF-CONFIG to an elementary set of configurations until the expected data models arrive. In this paper, we present a semantic-based approach that eases and automates the configuration of network devices while complementing the capabilities of OF-CONFIG and NETCONF. Our main contributions can be summarized as follows. First, we have formalized the semantics of the switch/router configuration domain using the Web Ontology Language (OWL). Second, we have developed an Ontology-Based Information Extraction (OBIE) system from the Command-Line Interface (CLI) of network devices. Third, we have defined a learning algorithm that enables automated interpretation of CLIs' configuration capabilities in heterogeneous (multi-vendor) network scenarios. The potential of our approach is demonstrated through experiments carried out on different network elements.
Year
DOI
Venue
2015
10.1109/INM.2015.7140321
Integrated Network Management
Keywords
Field
DocType
ontologies (artificial intelligence),program interpreters,protocols,software defined networking,CLI configuration capabilities,NETCONF,OBIE system,OF-CONFIG,OWL,OpenFlow Management and Configuration Protocol,OpenFlow elements,Web ontology language,command-line interface,configuration gap,data models,heterogeneous multivendor network scenarios,hybrid SDN environments,hybrid software-defined networks,learning algorithm,network administrators,network device configuration,network devices,ontology-based information extraction system,remote configuration,router configuration semantics,switch configuration semantics,transport constrains
NETCONF,Ontology (information science),Data modeling,Computer science,Bridging (networking),Networking hardware,Computer network,Information extraction,OpenFlow,Network element,Distributed computing
Conference
Citations 
PageRank 
References 
1
0.36
0
Authors
7