[RFE] UDN Network Perf Test

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Problem Statement

The current implementation of the UDN interface in PODs has a limitation where the UDN IP is not published when the 'oc' command is run. As a result, the communication starts on the default IP, which is not the intended behavior. This issue needs to be addressed to ensure that network performance tests can be run correctly against the UDN pods.

Solution Overview

To resolve this issue, we need to create a code that can run network performance tests against the UDN pods by selecting the correct UDN IP. This can be achieved by modifying the existing code to correctly identify and use the UDN IP.

Current Implementation

The current implementation of the UDN interface in PODs is defined in the following YAML file:

apiVersion: v1
kind: Pod
metadata:
  annotations:
    k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.128.2.21/23"],"mac_address":"0a:58:0a:80:02:15","routes":[{"dest":"10.128.0.0/14","nextHop":"10.128.2.1"},{"dest":"100.64.0.0/16","nextHop":"10.128.2.1"}],"ip_address":"10.128.2.21/23","role":"infrastructure-locked"},"netperf/udn-3":{"ip_addresses":["**10.0.0.8/24**"],"mac_address":"0a:58:0a:00:00:08","gateway_ips":["10.0.0.1"],"routes":[{"dest":"172.30.0.0/16","nextHop":"10.0.0.1"},{"dest":"100.65.0.0/16","nextHop":"10.0.0.1"}],"ip_address":"10.0.0.8/24","gateway_ip":"10.0.0.1","tunnel_id":12,"role":"primary"}}'
    k8s.v1.cni.cncf.io/network-status: |-
      [{
          "name": "ovn-kubernetes",
          "interface": "eth0",
          "ips": [
              "10.128.2.21"
          ],
          "mac": "0a:58:0a:80:02:15",
          "dns": {}
      },{
          "name": "ovn-kubernetes",
          "interface": "ovn-udn1",
          "ips": [
              "10.0.0.8"
          ],
          "mac": "0a:58:0a:00:00:08",
          "default": true,
          "dns": {}
      }]

As shown in the above YAML file, the UDN IP is defined as 10.0.0.8/24 and is marked as the default IP.

Modified Implementation

To run network performance tests against the UDN pods, we need to modify the existing code to correctly identify and use the UDN IP. This can be achieved by adding a new flag to the super-netperf command that specifies the UDN IP to use.

Here is an example of how the modified code can be implemented:

sh-5.1$ super-netperf 1 42424 -H 10.0.0.8 -l 10 -t TCP_STREAM -- -k rt_latency,p99_latency,throughput,throughput_units,remote_recv_calls,local_send_calls,local_transport_retrans -m 1024

In this example, the -H flag is used to specify the UDN IP to use, which is 10.0.0.8.

Benefits of the Solution

The proposed solution has several benefits, including:

  • Improved accuracy: By using the correct UDN IP, the network performance tests will be more accurate and reliable.
  • Increased flexibility: The modified code will allow users to specify the UDN IP to use, making it easier to run network performance tests against different UDN pods.
  • Better scalability: The solution will enable users to run network performance tests against multiple UDN pods, making it easier to scale and manage large-scale networks.

Conclusion

In conclusion, the proposed solution will improve the accuracy and reliability of network performance tests against UDN pods by correctly identifying and using the UDN IP. The modified code will also increase flexibility and scalability, making it easier to run network performance tests against different UDN pods and large-scale networks.

Future Work

Future work will focus on further improving the accuracy and reliability of network performance tests against UDN pods. This may involve:

  • Implementing additional features: Additional features, such as support for multiple UDN IPs and improved error handling, will be implemented to further improve the accuracy and reliability of network performance tests.
  • Enhancing scalability: The solution will be enhanced to support larger-scale networks and more complex UDN pod configurations.
  • Improving user experience: The user experience will be improved by providing more intuitive and user-friendly interfaces for running network performance tests against UDN pods.

References

  • [1] Kubernetes Documentation: Pods
  • [2] Open vSwitch Documentation: OVN-Kubernetes
  • [3] Netperf Documentation: Super-Netperf
    RFE: UDN Network Perf Test =====================================

Q&A: UDN Network Perf Test

Q: What is the current issue with the UDN interface in PODs? A: The current implementation of the UDN interface in PODs has a limitation where the UDN IP is not published when the 'oc' command is run. As a result, the communication starts on the default IP, which is not the intended behavior.

Q: What is the proposed solution to address this issue? A: The proposed solution is to create a code that can run network performance tests against the UDN pods by selecting the correct UDN IP. This can be achieved by modifying the existing code to correctly identify and use the UDN IP.

Q: How will the modified code be implemented? A: The modified code will be implemented by adding a new flag to the super-netperf command that specifies the UDN IP to use. This will allow users to specify the UDN IP to use, making it easier to run network performance tests against different UDN pods.

Q: What are the benefits of the proposed solution? A: The proposed solution has several benefits, including:

  • Improved accuracy: By using the correct UDN IP, the network performance tests will be more accurate and reliable.
  • Increased flexibility: The modified code will allow users to specify the UDN IP to use, making it easier to run network performance tests against different UDN pods.
  • Better scalability: The solution will enable users to run network performance tests against multiple UDN pods, making it easier to scale and manage large-scale networks.

Q: What are the future work plans for this solution? A: Future work will focus on further improving the accuracy and reliability of network performance tests against UDN pods. This may involve:

  • Implementing additional features: Additional features, such as support for multiple UDN IPs and improved error handling, will be implemented to further improve the accuracy and reliability of network performance tests.
  • Enhancing scalability: The solution will be enhanced to support larger-scale networks and more complex UDN pod configurations.
  • Improving user experience: The user experience will be improved by providing more intuitive and user-friendly interfaces for running network performance tests against UDN pods.

Q: What are the references for this solution? A: The references for this solution include:

Q: What is the expected outcome of this solution? A: The expected outcome of this solution is to improve the accuracy and reliability of network performance tests against UDN pods, making it easier to scale and manage large-scale networks.

Q: What are the potential risks and challenges associated with this solution? A: The potential risks and challenges associated with this solution include:

  • Complexity: The solution may introduce additional complexity to the existing code, which may require significant changes to the underlying architecture.
  • Scalability: The solution may not be scalable to larger-scale networks, which may require additional features and enhancements.
  • User experience: The solution may not provide a user-friendly interface for running network performance tests against UDN pods, which may require additional work to improve the user experience.

Q: How will the solution be tested and validated? A: The solution will be tested and validated through a series of tests and experiments, including:

  • Unit testing: The solution will be tested at the unit level to ensure that it meets the required specifications and requirements.
  • Integration testing: The solution will be tested at the integration level to ensure that it works correctly with other components and systems.
  • System testing: The solution will be tested at the system level to ensure that it meets the required performance and scalability requirements.

Q: What is the expected timeline for the solution? A: The expected timeline for the solution is as follows:

  • Short-term: The solution will be implemented and tested within the next 2-3 weeks.
  • Medium-term: The solution will be deployed and validated within the next 6-8 weeks.
  • Long-term: The solution will be continuously monitored and improved over the next 3-6 months.