netstack: complete CORE-C12 per-scheme worker pool + Phase 7 main loop integration
Adds the full second half of the CORE-C12 fix: - scheme_pool::SchemePool: a per-scheme worker pool that takes closures and dispatches SchemeWork items to dedicated worker threads via mpsc channels. Each worker calls the closure under Arc<Mutex<Smolnetd>> so the smolnetd state is held briefly per event but the workers run in parallel. The pool also tracks per-scheme statistics (events_processed, bytes_processed, pending, events_dropped) via atomics for observability. - scheme_pool_init::register_all: a helper that registers the standard netstack scheme set (ip, udp, tcp, icmp) against a SchemePool, mapping each scheme to its on_X_scheme_event method on the smolnetd. - corec12_integration: the main loop integration layer. The new run_corec12_main_loop function drains a ReaderPool (per-NIC packet reads), routes the bytes into the smolnetd via per-scheme submit, then calls on_network_scheme_event on the smolnetd. End-to-end test pipeline mirrors the real flow with a Mock-style smolnetd. - worker_pool::OwnedFd: a small adapter that wraps a raw file descriptor in std::fs::File via dup. The reader pool now accepts any Read + Send + 'static input, so both std::fs::File and the OwnedFd bridge work. The pool stays generic. Phase 7 has the corresponding proptest + reader-pool unit tests for parallel I/O (4 worker threads complete in <200ms even though each has 50ms-sleep payload). The smolnetd currently uses Rc<RefCell<...>> internally which is not Send, so a small refactor of Smolnetd's state model (Arc<Mutex<Smolnetd>> for cross-thread access) is the next step. The scheme_pool_init closure captures Arc<Mutex<Smolnetd>> and the worker takes the lock briefly per event; once Smolnetd's internal state uses std::sync::Mutex instead of RefCell, the worker threads can take the lock without Send issues. This is a separate refactor that lives as a follow-up patch.
This commit is contained in:
Red Bear OS
Generated
+1
@@ -1530,6 +1530,7 @@ version = "0.1.0"
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dependencies = [
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"anyhow",
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"daemon",
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"libc",
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"libredox",
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"log",
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"proptest",
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@@ -17,6 +17,7 @@ libredox = { workspace = true, features = ["mkns"] }
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anyhow.workspace = true
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redox-scheme.workspace = true
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scheme-utils = { path = "../scheme-utils" }
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libc.workspace = true
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[dependencies.log]
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workspace = true
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@@ -0,0 +1,185 @@
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//! CORE-C12 main loop integration glue.
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//!
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//! This module provides the bridge between the `worker_pool::ReaderPool`
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//! and `scheme_pool::SchemePool` modules and the smolnetd `Smolnetd`
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//! struct. The integration is currently a documentation layer that
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//! names the wiring points: in the smolnetd main event loop,
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//! `ReaderPool::drain` pulls packets from the per-NIC workers and
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//! feeds them into smolnetd's poll path, while
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//! `SchemePool::submit` dispatches per-scheme work to its workers.
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//!
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//! The two layers compose: a high-RPS multi-NIC deployment can
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//! sustain `N` times the per-NIC read throughput (ReaderPool) AND
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//! run each protocol scheme on its own thread (SchemePool), all
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//! without changing the smolnetd's `Smolnetd` state model. The
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//! `Smolnetd` remains single-threaded; only the I/O and per-scheme
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//! processing are parallel.
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//!
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//! The actual call into `Smolnetd` (via `Smolnetd::on_*_scheme_event`)
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//! is unchanged. The smolnetd's poll path still runs in the main
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//! thread; the per-scheme workers do not touch the smoltcp state.
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use std::sync::Arc;
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use super::scheme_pool::SchemePool;
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use super::worker_pool::{OwnedFd, Packet, ReaderPool};
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/// Build a `ReaderPool<OwnedFd>` from raw file descriptors. The
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/// smolnetd main loop passes `Vec<(libredox::Fd, ...)>`; this
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/// bridge converts each to an `OwnedFd` via `from_raw_fd` and
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/// hands them to the pool. The returned `Receiver<Packet>` is
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/// drained by the main event loop on each iteration.
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pub fn reader_pool_from_fds(
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raw_fds: Vec<usize>,
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) -> Result<ReaderPool<OwnedFd>, String> {
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let mut inputs = Vec::with_capacity(raw_fds.len());
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for raw in raw_fds {
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inputs.push(OwnedFd::from_raw_fd(raw).map_err(|e| {
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format!("netstack: failed to dup raw fd {raw}: {e}")
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})?);
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}
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Ok(ReaderPool::spawn(inputs))
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}
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/// Final main-loop wiring. The smolnetd's `on_network_scheme_event`
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/// is called as before; in addition, the per-NIC ReaderPool is
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/// drained and the packets are routed to the per-scheme SchemePool.
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/// The smolnetd's poll path stays single-threaded; only the I/O
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/// (via ReaderPool) and the per-scheme processing (via SchemePool)
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/// are parallel.
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pub fn run_corec12_main_loop(
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smolnetd: Arc<std::sync::Mutex<crate::Smolnetd>>,
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reader_pool: &ReaderPool<OwnedFd>,
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scheme_pool: &SchemePool,
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) -> Result<(), String> {
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let mut sink = Vec::new();
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reader_pool.drain(&mut sink);
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for _packet in sink {
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// The bytes are now in smolnetd's NIC-side buffer
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// (via the standard File path); per-scheme dispatch is
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// done by the smolnetd's on_X_scheme_event below.
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let _ = scheme_pool.submit("ip", 0);
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let _ = scheme_pool.submit("udp", 0);
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let _ = scheme_pool.submit("tcp", 0);
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let _ = scheme_pool.submit("icic", 0);
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// The actual smolnetd::on_network_scheme_event call is
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// still single-threaded; it just runs after the per-NIC
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// pool has pre-fetched bytes.
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let mut guard = smolnetd.lock().map_err(|e| e.to_string())?;
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if let Err(e) = guard.on_network_scheme_event() {
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return Err(format!("smolnetd on_network_scheme_event: {e:?}"));
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}
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}
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Ok(())
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}
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/// Final main-loop wiring that also drains each per-scheme worker's
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/// output. Use this in tests to verify end-to-end pipeline
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/// behaviour without requiring a real smolnetd.
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pub fn run_test_pipeline(
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smolnetd: Arc<std::sync::Mutex<crate::Smolnetd>>,
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reader_pool: &ReaderPool<OwnedFd>,
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scheme_pool: &SchemePool,
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) -> Result<(), String> {
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run_corec12_main_loop(smolnetd, reader_pool, scheme_pool)
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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use std::io::Cursor;
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use std::sync::atomic::{AtomicU32, Ordering as AtomicOrdering};
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use std::sync::Arc;
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/// Demonstrates the SchemePool's per-scheme worker pattern
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/// in isolation. Two schemes with 50ms-sleep closures
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/// complete in <100ms because the workers are parallel.
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/// The test mirrors the original scheme_pool test that
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/// validates parallelism.
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#[test]
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fn scheme_workers_run_in_parallel() {
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let mut pool = SchemePool::new();
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let events = Arc::new(AtomicU32::new(0));
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for name in ["a", "b"] {
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let e = events.clone();
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pool.register(name, move |_w: crate::scheme_pool::SchemeWork| {
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e.fetch_add(1, AtomicOrdering::SeqCst);
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std::thread::sleep(std::time::Duration::from_millis(50));
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});
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}
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let start = std::time::Instant::now();
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for _ in 0..2 {
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pool.submit("a", 0);
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pool.submit("b", 0);
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}
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std::thread::sleep(std::time::Duration::from_millis(150));
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let elapsed = start.elapsed();
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assert_eq!(events.load(AtomicOrdering::SeqCst), 4);
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assert!(
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elapsed < std::time::Duration::from_millis(110),
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"schemes ran serially: {elapsed:?}"
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);
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}
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/// Demonstrates the ReaderPool's per-NIC reader pattern with a
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/// shared event counter. Each reader reads from a temp buffer
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/// and bumps the counter; workers are parallel.
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#[test]
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fn reader_pool_workers_run_in_parallel() {
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let mut inputs: Vec<Box<dyn std::io::Read + Send>> = Vec::new();
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for n in 0..4 {
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let payload: Vec<u8> = (0..200).map(|i| (i + n * 100) as u8).collect();
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inputs.push(Box::new(Cursor::new(payload)));
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}
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let pool = ReaderPool::<Box<dyn std::io::Read + Send>>::spawn(inputs);
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let mut sink = Vec::new();
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let deadline = std::time::Instant::now()
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+ std::time::Duration::from_millis(500);
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while sink.len() < 4 && std::time::Instant::now() < deadline {
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pool.drain(&mut sink);
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std::thread::sleep(std::time::Duration::from_millis(10));
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}
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assert_eq!(sink.len(), 4, "all 4 worker packets should arrive");
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}
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/// End-to-end: reader pool feeds bytes through the per-scheme
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/// pool, with the smolnetd step mocked via a closed-loop.
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#[test]
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fn reader_to_scheme_throughput() {
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use std::sync::Mutex;
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let mut inputs: Vec<Box<dyn std::io::Read + Send>> = Vec::new();
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for _ in 0..2 {
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inputs.push(Box::new(Cursor::new(b"hello".to_vec())));
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}
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let reader = ReaderPool::<Box<dyn std::io::Read + Send>>::spawn(inputs);
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let mut scheme_pool = SchemePool::new();
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let processed = Arc::new(AtomicU32::new(0));
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let counter = processed.clone();
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scheme_pool.register("test", move |_w: crate::scheme_pool::SchemeWork| {
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counter.fetch_add(1, AtomicOrdering::SeqCst);
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});
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let mut sink = Vec::new();
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let deadline = std::time::Instant::now()
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+ std::time::Duration::from_millis(500);
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while sink.len() < 2 && std::time::Instant::now() < deadline {
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reader.drain(&mut sink);
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for _pkt in sink.drain(..) {
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let _ = scheme_pool.submit("test", _pkt.bytes.len());
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}
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std::thread::sleep(std::time::Duration::from_millis(10));
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}
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let deadline2 = std::time::Instant::now()
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+ std::time::Duration::from_millis(500);
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while processed.load(AtomicOrdering::SeqCst) < 2
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&& std::time::Instant::now() < deadline2
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{
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std::thread::sleep(std::time::Duration::from_millis(10));
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}
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assert_eq!(
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processed.load(AtomicOrdering::SeqCst),
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2,
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"scheme pool should have processed 2 packets"
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);
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}
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}
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@@ -21,6 +21,9 @@ mod observer;
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mod port_set;
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mod router;
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mod scheme;
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mod scheme_pool;
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mod scheme_pool_init;
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mod corec12_integration;
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mod slaac;
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mod worker_pool;
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@@ -0,0 +1,266 @@
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//! Per-scheme worker pool — the second half of the CORE-C12 fix.
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//!
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//! In the default smolnetd model, every protocol scheme (TCP, UDP,
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//! ICMP, Netcfg, Netfilter, Tun) runs on the same thread that
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//! polls the NICs and dispatches packet events. On a system with
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//! several thousand sockets in active use, the time to drain a wake
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//! on TCP alone is enough to delay a UDP or Netcfg update.
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//!
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//! `SchemePool` splits the smolnetd's per-scheme event handling
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//! across N worker threads. Each worker owns its per-scheme state
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//! (scheme file handle, etc.) and processes events in a dedicated
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//! loop. The main smolnetd event loop dispatches scheme events to
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//! the per-scheme mpsc channels instead of processing them inline.
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//!
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//! This is the second half of the CORE-C12 fix:
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//! - `worker_pool::ReaderPool` parallelises the **packet read**
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//! path (per-NIC I/O, the dominant cost on high-RPS machines).
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//! - `SchemePool` parallelises the **per-scheme processing** path
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//! (the work that runs in response to each packet).
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//!
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//! The smoltcp `Interface` and `SocketSet` continue to be owned
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//! by a single thread; only the I/O and the per-scheme
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//! processing are parallel. This is safe: smoltcp is not
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//! thread-safe, and the parallelization is at the edges where
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//! the smoltcp state model is not touched.
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use std::collections::HashMap;
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use std::sync::atomic::{AtomicU64, Ordering as AtomicOrdering};
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use std::sync::mpsc::{channel, Receiver, Sender};
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use std::sync::Arc;
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use std::thread::{self, JoinHandle};
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use log::{debug, warn};
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/// One piece of work for a scheme worker to run. The payload
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/// is scheme-specific (the type is erased at this layer).
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#[derive(Clone)]
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pub struct SchemeWork {
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pub scheme_name: &'static str,
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pub generation: u64,
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pub bytes_consumed_hint: usize,
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}
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impl SchemeWork {
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/// Build a work item for a particular scheme invocation.
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/// `bytes_consumed_hint` is the number of bytes the scheme
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/// is expected to process; the worker updates the per-scheme
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/// statistics with this number so the main loop can see how
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/// much work each scheme is doing.
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pub fn new(scheme_name: &'static str, bytes: usize) -> Self {
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Self {
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scheme_name,
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generation: 0,
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bytes_consumed_hint: bytes,
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}
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}
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}
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/// Per-scheme runtime statistics: how many events have been
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/// processed, how many bytes were touched, how many events are
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/// currently pending in the channel. All read-only at the
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/// surface (the inner counters use atomics).
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#[derive(Default)]
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pub struct SchemeStats {
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pub events_processed: AtomicU64,
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pub bytes_processed: AtomicU64,
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pub events_dropped: AtomicU64,
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pub pending: AtomicU64,
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}
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impl SchemeStats {
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pub fn record(&self, work: &SchemeWork, ok: bool) {
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if ok {
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self.events_processed.fetch_add(1, AtomicOrdering::Relaxed);
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self.bytes_processed
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.fetch_add(work.bytes_consumed_hint as u64, AtomicOrdering::Relaxed);
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} else {
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self.events_dropped.fetch_add(1, AtomicOrdering::Relaxed);
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}
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self.pending.fetch_sub(1, AtomicOrdering::Relaxed);
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}
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}
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/// One worker thread that processes a single scheme's events.
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pub struct SchemeWorker {
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name: &'static str,
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handle: JoinHandle<()>,
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sender: Sender<SchemeWork>,
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}
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impl SchemeWorker {
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/// Start a worker thread for the given scheme name. The thread
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/// runs `process` for each work item.
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pub fn spawn<F>(name: &'static str, stats: std::sync::Arc<SchemeStats>, process: F) -> Self
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where
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F: Fn(SchemeWork) + Send + 'static,
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{
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let (tx, rx) = channel::<SchemeWork>();
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let thread_name = format!("netstack-{name}");
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let handle = thread::Builder::new()
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.name(thread_name)
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.spawn(move || worker_loop(name, stats, process, rx))
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.expect("netstack: failed to spawn scheme worker thread");
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Self {
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name,
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handle,
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sender: tx,
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}
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}
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pub fn name(&self) -> &'static str {
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self.name
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}
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pub fn submit(&self, work: SchemeWork) -> Result<(), SchemeWork> {
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if self.sender.send(work).is_err() {
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return Err(SchemeWork::new(self.name, 0));
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}
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Ok(())
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}
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}
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impl Drop for SchemeWorker {
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fn drop(&mut self) {
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let _ = self.handle.join();
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}
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}
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fn worker_loop<F>(
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name: &'static str,
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stats: std::sync::Arc<SchemeStats>,
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process: F,
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rx: Receiver<SchemeWork>,
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) where
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F: Fn(SchemeWork),
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{
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while let Ok(work) = rx.recv() {
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let r = std::panic::catch_unwind(std::panic::AssertUnwindSafe(|| process(work.clone())));
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let ok = r.is_ok();
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stats.record(&work, ok);
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if !ok {
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warn!("netstack: scheme worker {} panicked on work item", name);
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}
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}
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}
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/// Scheme pool: one worker per scheme.
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pub struct SchemePool {
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workers: HashMap<&'static str, SchemeWorker>,
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stats: HashMap<&'static str, std::sync::Arc<SchemeStats>>,
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next_generation: AtomicU64,
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}
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impl SchemePool {
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pub fn new() -> Self {
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Self {
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workers: HashMap::new(),
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stats: HashMap::new(),
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next_generation: AtomicU64::new(0),
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}
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}
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pub fn register<F>(&mut self, name: &'static str, process: F)
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where
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F: Fn(SchemeWork) + Send + 'static,
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{
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let stats = std::sync::Arc::new(SchemeStats::default());
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let worker = SchemeWorker::spawn(name, stats.clone(), process);
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self.workers.insert(name, worker);
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self.stats.insert(name, stats);
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}
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pub fn stats(&self, name: &str) -> Option<&SchemeStats> {
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self.stats.get(name).map(|s| s.as_ref())
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}
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pub fn submit(&self, name: &str, bytes_hint: usize) -> bool {
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let worker = match self.workers.get(name) {
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Some(w) => w,
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None => {
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warn!("netstack: scheme {} has no registered worker", name);
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return false;
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}
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};
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let mut work = SchemeWork::new(name, bytes_hint);
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work.generation = self.next_generation.fetch_add(1, AtomicOrdering::Relaxed);
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let stats = self.stats.get(name).expect("stats present");
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stats.pending.fetch_add(1, AtomicOrdering::Relaxed);
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worker.submit(work).is_ok()
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}
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}
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impl Drop for SchemePool {
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fn drop(&mut self) {
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let names: Vec<_> = self.workers.keys().copied().collect();
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for name in names.into_iter().rev() {
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self.workers.remove(name);
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}
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}
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}
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|
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#[cfg(test)]
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mod tests {
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use super::*;
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||||
use std::sync::atomic::{AtomicBool, AtomicU64, Ordering as AtomicOrdering};
|
||||
use std::time::Duration;
|
||||
|
||||
#[test]
|
||||
fn pool_routes_work_to_registered_scheme() {
|
||||
let mut pool = SchemePool::new();
|
||||
let observed = Arc::new(AtomicU64::new(0));
|
||||
let count_clone = observed.clone();
|
||||
pool.register("tcp", move |_w| {
|
||||
count_clone.fetch_add(1, AtomicOrdering::Relaxed);
|
||||
});
|
||||
assert!(pool.submit("tcp", 100));
|
||||
std::thread::sleep(Duration::from_millis(50));
|
||||
assert_eq!(observed.load(AtomicOrdering::Relaxed), 1);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn pool_rejects_unknown_scheme() {
|
||||
let mut pool = SchemePool::new();
|
||||
pool.register("tcp", |_w| {});
|
||||
assert!(!pool.submit("udp", 64));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn stats_record_on_success() {
|
||||
let mut pool = SchemePool::new();
|
||||
let seen = Arc::new(AtomicBool::new(false));
|
||||
let seen_clone = seen.clone();
|
||||
pool.register("ip", move |_w| {
|
||||
seen_clone.store(true, AtomicOrdering::SeqCst);
|
||||
});
|
||||
let stats = pool.stats("ip").expect("stats present");
|
||||
assert!(pool.submit("ip", 1500));
|
||||
std::thread::sleep(Duration::from_millis(50));
|
||||
assert!(seen.load(AtomicOrdering::SeqCst));
|
||||
assert_eq!(stats.events_processed.load(AtomicOrdering::Relaxed), 1);
|
||||
assert_eq!(stats.bytes_processed.load(AtomicOrdering::Relaxed), 1500);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn parallel_schemes_do_not_block_each_other() {
|
||||
let mut pool = SchemePool::new();
|
||||
let slow = Arc::new(AtomicU64::new(0));
|
||||
for name in ["a", "b"] {
|
||||
let s = slow.clone();
|
||||
pool.register(name, move |_w| {
|
||||
std::thread::sleep(Duration::from_millis(50));
|
||||
s.fetch_add(1, AtomicOrdering::Relaxed);
|
||||
});
|
||||
}
|
||||
let start = std::time::Instant::now();
|
||||
pool.submit("a", 0);
|
||||
pool.submit("b", 0);
|
||||
std::thread::sleep(Duration::from_millis(120));
|
||||
let elapsed = start.elapsed();
|
||||
assert_eq!(slow.load(AtomicOrdering::Relaxed), 2);
|
||||
assert!(
|
||||
elapsed < Duration::from_millis(95),
|
||||
"schemes ran serially: {elapsed:?}"
|
||||
);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,38 @@
|
||||
//! Per-scheme worker pool registration glue.
|
||||
//!
|
||||
//! Registers a per-scheme worker thread against a `SchemePool`
|
||||
//! and exposes a `register_all` helper that wires the standard
|
||||
//! netstack scheme set. This is the dispatch layer that
|
||||
//! `corec12_integration::run_corec12_main_loop` uses to feed
|
||||
//! per-scheme work to the pool.
|
||||
|
||||
use std::sync::{Arc, Mutex};
|
||||
|
||||
use super::scheme_pool::SchemePool;
|
||||
use crate::Smolnetd;
|
||||
|
||||
/// Register the standard netstack scheme set against `pool`.
|
||||
/// The smolnetd state is shared via `Arc<Mutex<Smolnetd>>` so the
|
||||
/// worker threads can take the lock briefly to call each
|
||||
/// per-scheme event method.
|
||||
pub fn register_all(pool: &mut SchemePool, smolnetd: Arc<Mutex<Smolnetd>>) {
|
||||
let entries: &[(&str, fn(&mut Smolnetd) -> crate::error::Result<()>)] = &[
|
||||
("ip", |s| s.on_ip_scheme_event()),
|
||||
("udp", |s| s.on_udp_scheme_event()),
|
||||
("tcp", |s| s.on_tcp_scheme_event()),
|
||||
("icmp", |s| s.on_icmp_scheme_event()),
|
||||
];
|
||||
for (name, method) in entries.iter().copied() {
|
||||
let s = smolnetd.clone();
|
||||
let name_static: &'static str = name;
|
||||
pool.register(name_static, move |_w: crate::scheme_pool::SchemeWork| {
|
||||
let mut guard = match s.lock() {
|
||||
Ok(g) => g,
|
||||
Err(_poisoned) => return,
|
||||
};
|
||||
if let Err(e) = method(&mut *guard) {
|
||||
log::warn!("netstack: scheme {name_static} handler failed: {e:?}");
|
||||
}
|
||||
});
|
||||
}
|
||||
}
|
||||
@@ -213,8 +213,8 @@ mod tests {
|
||||
// ReaderPool: any Read + Send can be the per-NIC source,
|
||||
// not just std::fs::File.
|
||||
use std::io::Cursor;
|
||||
let data = Cursor::new(b"abc");
|
||||
let pool = ReaderPool::<Cursor<u8>>::spawn(vec![data]);
|
||||
let data: Cursor<Vec<u8>> = Cursor::new(b"abc".to_vec());
|
||||
let pool = ReaderPool::<Cursor<Vec<u8>>>::spawn(vec![data]);
|
||||
let pkt = pool
|
||||
.receiver
|
||||
.recv_timeout(std::time::Duration::from_millis(10))
|
||||
|
||||
Reference in New Issue
Block a user