Jianing Pei
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Huaweias of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0003-4180-1421as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- OpenAlex ID
- A5103176324as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 8
Cost-Efficient Virtual Network Function Placement and Traffic Steering,
Efficiently Embedding Service Function Chains with Dynamic Virtual Network Function Placement in Geo-Distributed Cloud System,
Multi-Task Deep Learning Based Dynamic Service Function Chains Routing in SDN/NFV-Enabled Networks,
Optimal VNF Placement via Deep Reinforcement Learning in SDN/NFV-Enabled Networks,
Two-Phase Virtual Network Function Selection and Chaining Algorithm Based on Deep Learning in SDN/NFV-Enabled Networks,
Virtual network forwarding graph embedding based on Tabu Search,
Virtual network function placement and resource optimization in NFV and edge computing enabled networks,
Virtual Network Function Placement Considering Resource Optimization and SFC Requests in Cloud Datacenter
← Authored by 8
Cost-Efficient Virtual Network Function Placement and Traffic Steering,
Efficiently Embedding Service Function Chains with Dynamic Virtual Network Function Placement in Geo-Distributed Cloud System,
Multi-Task Deep Learning Based Dynamic Service Function Chains Routing in SDN/NFV-Enabled Networks,
Optimal VNF Placement via Deep Reinforcement Learning in SDN/NFV-Enabled Networks,
Two-Phase Virtual Network Function Selection and Chaining Algorithm Based on Deep Learning in SDN/NFV-Enabled Networks,
Virtual network forwarding graph embedding based on Tabu Search,
Virtual network function placement and resource optimization in NFV and edge computing enabled networks,
Virtual Network Function Placement Considering Resource Optimization and SFC Requests in Cloud Datacenter
Affiliated with 2
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Summary
Jianing Pei is a human[1].