Towards a scalable, flexible and high performance NFV execution model

Peng Zheng, Arvind Narayanan, Zhi Li Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Scaling the software packet processing capability of Network Function Virtualization (NFV) on multi-core commodity server to meet the high performance, e.g. 100 Gbps linespeed and beyond, is still a challenging task. We find that two existing service function chain (SFC) execution models often fail to scale up to the linespeed with increasing and diverse traffic. To this end, we present a novel hybrid execution model with the scalability, flexibility to attain high performance packet processing rate.

Original languageEnglish (US)
Title of host publicationCoNEXT 2019 Companion - Proceedings of the 15th International Conference on Emerging Networking EXperiments and Technologies, Part of CoNEXT 2019
PublisherAssociation for Computing Machinery, Inc
Pages68-69
Number of pages2
ISBN (Electronic)9781450370066
DOIs
StatePublished - Dec 9 2019
Event15th International Conference on Emerging Networking EXperiments and Technologies, CoNEXT 2019 - Part of CoNEXT 2019 - Orlando, United States
Duration: Dec 9 2019Dec 12 2019

Publication series

NameCoNEXT 2019 Companion - Proceedings of the 15th International Conference on Emerging Networking EXperiments and Technologies, Part of CoNEXT 2019

Conference

Conference15th International Conference on Emerging Networking EXperiments and Technologies, CoNEXT 2019 - Part of CoNEXT 2019
CountryUnited States
CityOrlando
Period12/9/1912/12/19

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Keywords

  • Execution model
  • Hybrid
  • Multi-core
  • NFV
  • Scalability

Cite this

Zheng, P., Narayanan, A., & Zhang, Z. L. (2019). Towards a scalable, flexible and high performance NFV execution model. In CoNEXT 2019 Companion - Proceedings of the 15th International Conference on Emerging Networking EXperiments and Technologies, Part of CoNEXT 2019 (pp. 68-69). (CoNEXT 2019 Companion - Proceedings of the 15th International Conference on Emerging Networking EXperiments and Technologies, Part of CoNEXT 2019). Association for Computing Machinery, Inc. https://doi.org/10.1145/3360468.3368181