Title
SDN and ForCES based optimal network topology discovery
Abstract
Software-defined Networking proposes an alternative paradigm on network programmability based on the separation of control and forwarding planes. Discovering network elements in a dynamic and optimized fashion, able to cope with the ever-growing network traffic, is a key requirement for SDN networks, in order to ensure a data center's robustness and manageability. OpenFlow's approach for creating the topology map is by exchanging LLDP frames between the controller and the forwarding elements. This paper proposes a better usage of LLDP by taking advantage of existing hardware capabilities to extract information directly from the data plane to the control plane in order to construct a dynamic and automatic topology discovery algorithm. Following this procedure to obtain the topology map and using the IETF's ForCES framework, we managed to model a generic method for extracting the required LLDP information from the datapath to the controller.
Year
DOI
Venue
2015
10.1109/NETSOFT.2015.7116181
NetSoft
Keywords
Field
DocType
component, Software-Defined Networking, ForCES, OpenFlow, Topology Discovery, LLDP, Shortest Path
Logical topology,Forwarding plane,Control theory,Computer science,Computer network,Network topology,Robustness (computer science),OpenFlow,Network element,Routing table,Distributed computing
Conference
Citations 
PageRank 
References 
8
0.60
7
Authors
3
Name
Order
Citations
PageRank
George Tarnaras180.94
Evangelos Haleplidis28412.00
Spyros G. Denazis313119.98