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Volume 45 Issue 10
Oct.  2023
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LI Ziyong, HU Yuxiang, TIAN Le, PEI Jinchuan. Virtualization of the Programmable Data Plane for Supporting Coexistence of Multiple Network Functions[J]. Journal of Electronics & Information Technology, 2023, 45(10): 3667-3675. doi: 10.11999/JEIT221412
Citation: LI Ziyong, HU Yuxiang, TIAN Le, PEI Jinchuan. Virtualization of the Programmable Data Plane for Supporting Coexistence of Multiple Network Functions[J]. Journal of Electronics & Information Technology, 2023, 45(10): 3667-3675. doi: 10.11999/JEIT221412

Virtualization of the Programmable Data Plane for Supporting Coexistence of Multiple Network Functions

doi: 10.11999/JEIT221412
Funds:  The National Key Research and Development Program of China (2020YFB1806402),Songshan Laboratory Project (221100210900-02)
  • Received Date: 2022-11-09
  • Rev Recd Date: 2023-06-15
  • Available Online: 2023-06-22
  • Publish Date: 2023-10-31
  • Network virtualization allows multiple virtual networks to coexist on the same physical infrastructure, facilitating the incremental deployment of future network technology. However, the current programmable data plane provides exclusive data plane abstract that is difficult to support multiple network functions simultaneously. A Virtualized P4-based Programmable Data Plane architecture with Parallel Pipeline (VirtP6) is proposed, which allows multiple isolated virtual network functions to run on a single physical device. The single pipeline structure of the programmable data plane is changed. Then, multiple parallel packet processing pipelines are ensured to realize the virtualization of the programmable data plane, and resource isolation, traffic isolation and access isolation between different virtual network functions are introduced. Finally, the virtualization overhead, isolation, scalability, and network applicability of VirtP6 are evaluated. Experimental results show that compared with HyperP4, VirtP6 reduces greatly virtualization overhead, reduces latency by 68%, improves throughput by 75%, and has good isolation and scalability.
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