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base on dperf: High-Performance Network Load Testing Tool Based on DPDK # dperf [](https://github.com/baidu/dperf/blob/main/LICENSE) [](https://chat.openai.com/) <a href="https://hellogithub.com/repository/67958cc5d1f44a6a84f3544e3c007e5f" target="_blank"><img src="https://abroad.hellogithub.com/v1/widgets/recommend.svg?rid=67958cc5d1f44a6a84f3544e3c007e5f&claim_uid=Thc9mJByaKSbdng&theme=small" alt="Featured|HelloGitHub" /></a>
**dperf** is a high-performance network traffic generator and load testing tool based on **DPDK**.
## Advantages
- **High Performance**
Built on DPDK, dperf can generate massive traffic using a single x86 server — achieving tens of millions of HTTP Connections Per Second (CPS), hundreds of Gbps throughput, and billions of concurrent connections.
- **Comprehensive Statistics**
Provides detailed real-time metrics and identifies every packet drop or error.
- **Versatile Use Cases**
- Load and stability testing for Layer 4 Load Balancers and gateways
- Network performance benchmarking for cloud servers
- Evaluation of NIC and CPU packet processing capabilities
- Acts as a high-performance HTTP server or client for testing scenarios
## Performance
All results were measured using the following hardware and configuration:
- **CPU**: Intel Xeon Gold 5418Y × 2
- **Memory**: 128 GB × 2
- **NIC**: Intel E810-C Dual-Port 100GbE × 2
- **OS**: Linux 5.10.0
### HTTP Connections Per Second (CPS)
| Client Cores | Server Cores | HTTP CPS (Million) | Client CPU Usage (%) | Server CPU Usage (%) |
|--------------|---------------|-------------------|----------------------|----------------------|
| 1 | 1 | 4 | 74 | 71 |
| 2 | 2 | 8 | 74 | 72 |
| 4 | 4 | 16 | 73 | 70 |
| 8 | 8 | 32 | 70 | 68 |
| 16 | 16 | 64 | 70 | 68 |
### HTTP Throughput (Gbps)
| Client Cores | Server Cores | RX Throughput | TX Throughput | Client CPU Usage (%) | Server CPU Usage (%) |
|--------------|--------------|---------------|---------------|----------------------|----------------------|
| 1 | 1 | 98.3 Gbps | 98.3 Gbps | 78 | 80 |
| 2 | 2 | 196.7 Gbps | 196.7 Gbps | 78 | 82 |
### Concurrent Connections
| Client Cores | Server Cores | Connections (Billion) | Client CPU Usage (%) | Server CPU Usage (%) | Memory Usage (GB) |
|--------------|--------------|-----------------------|----------------------|----------------------|-------------------|
| 1 | 1 | 1 | 48 | 48 | 60 |
| 2 | 2 | 2 | 48 | 48 | 120 |
| 4 | 4 | 4 | 48 | 48 | 240 |
### TCP Packets Per Second (PPS)
| Client Cores | RX PPS (Mpps) | TX PPS (Mpps) | Client CPU Usage (%) |
|--------------|---------------|---------------|----------------------|
| 1 | 16.8 | 16.8 | 99 |
| 6 | 105.2 | 105.2 | 99 |
| 12 | 204.6 | 204.6 | 99 |
## Real-Time Statistics
dperf prints real-time statistics every second, including CPS, TPS, PPS, packet drops, socket errors, and HTTP status counts.
Example output:
```plaintext
seconds 22 cpuUsage 52
pktRx 3,001,058 pktTx 3,001,025 bitsRx 2,272,799,040 bitsTx 1,920,657,600 dropTx 0
arpRx 0 arpTx 0 icmpRx 0 icmpTx 0 otherRx 0 badRx 0
synRx 1,000,345 synTx 1,000,330 finRx 1,000,350 finTx 1,000,350 rstRx 0 rstTx 0
synRt 0 finRt 0 ackRt 0 pushRt 0 tcpDrop 0
skOpen 1,000,330 skClose 1,000,363 skCon 230 skErr 0
httpGet 1,000,345 http2XX 1,000,350 httpErr 0
ierrors 0 oerrors 0 imissed 0
```
## Documentation
See the official website at [https://dperf.org/](https://dperf.org/).
## Contributing
We welcome contributions! Please see the [CONTRIBUTING](CONTRIBUTING.md) file for details.
## Patent
- **Title**: Testing Method and Apparatus for Network Devices
- **Inventor**: Jianzhang Peng
- **Patent Number**: CN114205274B
- **Issue Date**: June 11, 2024
## Acknowledgment
We gratefully acknowledge [xnetin](https://www.xnetin.com/) for providing the high-performance testing platform used in our benchmarking experiments.
## Author
**[Jianzhang Peng](https://github.com/pengjianzhang)** holds a Ph.D. in Computer Science from the University of Science and Technology of China (USTC). He previously worked as a Principal Engineer at Baidu, where he contributed to the development of high-performance L4 load balancer systems. He initiated and developed the dperf project during his time at Baidu, and continues to maintain it as an open-source contributor. His current focus is on low-latency network protocol stacks for quantitative trading systems.
## License
dperf is licensed under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0).
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