Visible to the public Optimization Strategy of Flow Table Storage Based on “Betweenness Centrality”

TitleOptimization Strategy of Flow Table Storage Based on “Betweenness Centrality”
Publication TypeConference Paper
Year of Publication2019
AuthorsMa, Zhaohui, Yang, Yan
Conference Name2019 IEEE International Conference on Power Data Science (ICPDS)
Date Publishednov
Keywordsbetweenness centrality, Big Data, clean slate, cloud computing, Flow Table Optimization, flow table storage, Human Behavior, Metrics, network architecture, network technology, network virtualization, optimisation, Optimization, policy governance, Protocols, pubcrawl, Resiliency, Roads, SDN Flow table optimization, SDN switch, Software Defined Network, software defined networking, Switches, telecommunication control, telecommunication network topology, telecommunication switching, virtualisation
AbstractWith the gradual progress of cloud computing, big data, network virtualization and other network technology. The traditional network architecture can no longer support this huge business. At this time, the clean slate team defined a new network architecture, SDN (Software Defined Network). It has brought about tremendous changes in the development of today's networks. The controller sends the flow table down to the switch, and the data flow is forwarded through matching flow table items. However, the current flow table resources of the SDN switch are very limited. Therefore, this paper studies the technology of the latest SDN Flow table optimization at home and abroad, proposes an efficient optimization scheme of Flow table item on the betweenness centrality through the main road selection algorithm, and realizes related applications by setting up experimental topology. Experiments show that this scheme can greatly reduce the number of flow table items of switches, especially the more hosts there are in the topology, the more obvious the experimental effect is. And the experiment proves that the optimization success rate is over 80%.
DOI10.1109/ICPDS47662.2019.9017175
Citation Keyma_optimization_2019