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GlobeSnap: An Efficient Globally Consistent Statistics Collection for Software-Defined Networks

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dc.contributor.author Haribabu, K
dc.contributor.author Bhatia, Ashutosh
dc.date.accessioned 2023-01-03T04:11:02Z
dc.date.available 2023-01-03T04:11:02Z
dc.date.issued 2021-05
dc.identifier.uri https://link.springer.com/article/10.1007/s10922-021-09601-z
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8234
dc.description.abstract Software defined networking (SDN) controller requires crucial statistics like flow-wise statistics from the switches to make decisions related to routing, load balancing, and QoS provisioning. These statistics, when viewed across the switches are likely to be inconsistent if a specific order is not enforced while collecting statistics. Collecting consistent statistics requires coordination among all the participating switches. A few approaches in the literature collect globally consistent statistics of a network in the SDN domain. However, these approaches are not time-efficient, robust, and synchronous for OpenFlow based networks. We propose, GlobeSnap, a time-efficient, robust, and synchronous method to collect globally consistent statistics for OpenFlow networks. GlobeSnap collects consistent statistics for all flows in a single round and is therefore, time-efficient. Moreover, GlobeSnap is robust since it resumes the statistics collection process from where it left in case of interruption. GlobeSnap also provides a near-synchronous snapshot of statistics of the switches traversed by a given flow. We also propose a mechanism to persistently store states in OpenFlow based networks using registers, multiple flow tables, and multiple pipelines. We find that GlobeSnap outperforms the state-of-the-art approaches in consistency evaluation. Further we present two use-cases which are sensitive to inconsistent flow statistics, that is, computing packet loss and identifying bottleneck links, to show the time-efficiency, robustness, and synchronicity of GlobeSnap. GlobeSnap provides 100% consistency in OpenFlow based SDN networks. Whereas the existing methods achieve a maximum of 59.89% consistency. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.subject Computer Science en_US
dc.subject Consistent statistics en_US
dc.subject Special control packet en_US
dc.subject OpenFlow en_US
dc.title GlobeSnap: An Efficient Globally Consistent Statistics Collection for Software-Defined Networks en_US
dc.type Article en_US


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