Causes and measures of failure

[nkuMsy]

Could you explain to me the causes and corresponding measures of several types of failures in a dataset? Thanks a lot.

[Xander-cloudwise]

Thank you for your concern to GAIA-Dataset. Anomaly injection cases are documented in the "run" folder. The explanation of the causes and corresponding measures of failures are summarized as follows:

1. Abnormal memory usage: We injected abnormal memory consumption. The corresponding logs record the additional memory usage, duration of the abnormality, associated host IP, and other relevant information. The sample log is as follows: 2021-07-01,redisservice1,"2021-07-01 13:18:43,143 | WARNING | 0.0.0.1 | 172.17.0.4 | redisservice1 | [memory_anomalies] trigger a high memory program, start at 2021-07-01 13:08:42.446638 and lasts 600 seconds and use 1g memory
2. QR code information expiration: We simulated a business failure where the user failed to scan the login QR code in a timely manner, resulting in a login failure. The corresponding logs record the trace_id associated with the failed login request. The sample log is as follows: 2021-07-01,mobservice1,"2021-07-01 15:54:08,437 | WARNING | 0.0.0.1 | 172.17.0.5 | mobservice1 | d53c0c0d63664e6d | wait for 11 seconds for follow-up operations to simulate the login failure of the QR code expired
3. File loss: We simulated a business failure where the service failed to access a file due to its removal, resulting in the inability to complete the business process. The service will throw an error when it cannot access the file. The corresponding logs record the host IP of the file removal, the start time, and the duration. The sample log is as follows: 2021-07-02,webservice1,"2021-07-02 20:10:00,659 | WARNING | 0.0.0.1 | 172.17.0.3 | webservice1 | trigger the file moving program, start with 2021-07-02 20:00:00.510589, last for 600 seconds

[Durantdzr]

已收到你的信件，我会尽快处理。