Unreliable results due to performance measurement errors
Problem
When using a custom performance measurement tool, users discover that the measured throughput does not match reality because memory and network processing overheads are not accounted for, leading to inaccurate results that affect downstream decisions.
Pain points
- Performance measurement tool provides incorrect statistics under high load
- Lack of precise analysis of memory and network processing overheads
- Toolchain reliability and accuracy are insufficient
Questions to verify
- Have you ever encountered similar performance measurement errors?
- Are you interested in the effectiveness of persistent models in real-world applications?
- How would you improve the current measurement tool to obtain more accurate data?
Evidence
quote
I have something like this very recently.About a month ago I wrote a perf tool for my application to measure its network message speed. It showed I could send 3,250,000 WebSocket messages per second in my TypeScript application. If I moved each test of an experiment into its own call stack I could send 3,250,000 messages as fast as 0.002 seconds. Claude confirmed the number.It was about two weeks later I learned the number is wrong. The number would be correct if this were just a linear instruction processing problem. Actually the processing time, CPU and network handling, is about 0.08%. The other 99.92% of processing time is in memory. What was happening is the perf tool would push messages into a queue on the socket from a JavaScript loop, but the speed to process these messages and dra
quote
> For a deeper, more technical dive, check out the paper on arxiv and code on github.These links at the top point to the same page, not the paper or the code!
Disclaimer: this card is distilled by AI from community discussions as “pain point evidence”. It is a starting point for need analysis and validation, not a “validated market need”. AI has analytical limits; please open the original discussion above to manually verify before key decisions.