A test system and method for automatically verifying long-time tasks of streaming protocols

Abstract

The invention discloses a test system and method for automatically verifying long-time tasks of a streaming protocol. Users configure and install monitoring tools on the server under test through the main control platform, and obtain all long-term tasks to be tested on the server under test, perform concurrent monitoring one by one, and save real-time input and output sources, task logs, etc. in a In the fixed directory, when there is a serious configuration alarm or an error is found, the problem information and related problem investigation data will be sent to the user in real time, which is convenient for the user to investigate the problem; if there is no problem within the predetermined period, the feedback is normal. The beneficial effect of the invention is that the stability test efficiency of the live video stream can be greatly improved, and at the same time, the time delay for problem discovery is small.

Description

technical field [0001] The invention relates to the related technical field of video coding and decoding, in particular to a testing system and method for automatically verifying a long-time task of a streaming protocol. Background technique [0002] In the field of transcoding of live video streams, it has always been a headache for the industry to verify the correctness and stability of the live output streams transcoded by transcoders. The main difficulties in testing live streaming are as follows: [0003] 1. High manpower consumption. Since the live stream is real-time, if you use manual testing, you need someone to stare at the screen all day long to observe its correctness and stability. Because there may be many live streams that need to be checked, if a manual method is used, the consumption of manpower is almost a bottomless pit. [0004] 2. There is no guarantee that all problems will be discovered in a timely manner. Because there is no guarantee that the tes...

AI Technical Summary

Problems solved by technology

Because there may be many live streams that need to be checked, if manual methods are used, the consumption of manpower is almost a bottomless pit

[0004] 2. There is no guarantee that all problems can be found in time

Because there is no guarantee that the tester's attention will always be on the video content, there is a high chance that some questions will be missed

[0005] 3. Problem location is very difficult

[0006] 1. The information source is real-time, and in many cases, it is the particularity of the information source that causes problems in the transcoding program, and when the problem is seen, the abnormal information source has already passed away

It has a great impact on the reproduction and verification of the problem in the later period, and it may not even be reproduced

[0007] 2. Both the source and the live stream output itself may be affected by network factors

[0011] The current test method is constrained by the above-mentioned difficulties, which leads to low efficiency of live stream stability test and large delay in problem discovery

Images