GlobeSnap: An Efficient Globally Consistent Statistics Collection for Software-Defined Networks
| Autor: | Sandhya Rathee, Ram Jashnani, K. Haribabu, Aakash Bajaj, Zhi-Li Zhang, Ashutosh Bhatia, Nitin Varyani |
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| Rok vydání: | 2021 |
| Předmět: |
OpenFlow
Computer Networks and Communications Computer science Strategy and Management Process (computing) 020206 networking & telecommunications 02 engineering and technology Load balancing (computing) Bottleneck Hardware and Architecture Packet loss Consistency (statistics) Robustness (computer science) Statistics 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Software-defined networking Information Systems |
| Zdroj: | Journal of Network and Systems Management. 29 |
| ISSN: | 1573-7705 1064-7570 |
| DOI: | 10.1007/s10922-021-09601-z |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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