Bibliographic record
Abstract
Event-driven architectures are currently a popular design choice for scalable, high-performance server applications. For this reason, operating systems have invested in efficiently supporting non-blocking and asynchronous I/O, as well as scalable event-based notification systems. We propose the use of exception-less system calls as the main operating system mechanism to construct highperformance event-driven server applications. Exceptionless system calls have four main advantages over traditional operating system support for event-driven programs: (1) any system call can be invoked asynchronously, even system calls that are not file descriptor based, (2) support in the operating system kernel is nonintrusive as code changes are not required for each system call, (3) processor efficiency is increased since mode switches are mostly avoided when issuing or executing asynchronous operations, and (4) enabling multi-core execution for event-driven programs is easier, given that a single user-mode execution context can generate enough requests to keep multiple processors/cores busy with kernel execution. We present libflexsc, an asynchronous system call and notification library suitable for building event-driven applications. Libflexsc makes use of exception-less system calls through our Linux kernel implementation, FlexSC. We describe the port of two popular event-driven servers, memcached and nginx, to libflexsc. We show that exception-less system calls increase the throughput of memcached by up to 35 % and nginx by up to 120 % as a result of improved processor efficiency. 1
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".