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9e63b42bd93d584f646cfcf7010c649d5c9b6858
3
Commits
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9e63b42bd9 |
Consolidate Docker test harness infrastructure
Replace 4 near-identical per-harness Docker setups with unified shared infrastructure. Net result: -463 lines across 55 files, faster CI (8.5 min vs ~13.5 min), 14 scenarios (down from 21). Unified Docker image (testing/docker/): - Single Dockerfile (trixie-slim) with FIPS_TEST_MODE env var for mode dispatch: default, chaos, sidecar, tor-socks5, tor-directory - Single entrypoint.sh with conditional logic per mode - Replaces 5 Dockerfiles, 3 entrypoints, 4 resolv.conf copies Shared build and libraries (testing/scripts/, testing/lib/): - testing/scripts/build.sh: single build script with macOS zigbuild support, replaces 4 per-harness copies - testing/lib/derive_keys.py: shared key derivation module, replaces 3 copies of derive-keys.py - testing/lib/log_analysis.py: shared log analysis extracted from chaos sim/logs.py, with CLI interface and rekey cutover tracking - testing/lib/wait-converge.sh: shared convergence wait helpers (wait_for_links, wait_for_peers) using fipsctl JSON polling Scenario consolidation: - Remove 7 redundant scenarios: tcp-chain (subsumed by tcp-mesh), tcp-only (subsumed by tcp-mesh), chaos-10 (replaced by churn-mixed --nodes 10), churn-10/churn-20/churn-20-mixed (subsumed by parameterized churn-mixed), cost-mixed-7node (overlaps mixed-technology) - Add churn-mixed scenario with --nodes flag for scale testing - Reduce idle scenario durations: smoke-10 60s→30s, ethernet-only 90s→30s, cost-avoidance 120s→45s, depth-vs-cost 120s→45s, bottleneck-parent 120s→60s, mixed-technology 180s→90s CI updates: - ci-local.sh: unified image build, structured chaos suite entries with per-scenario flags, --skip-build for sidecar - ci.yml: shared binary install + image build step, updated scenario matrix, chaos_flags support for parameterized scenarios - Add tcp-mesh and congestion-stress to CI matrix - Static ping test uses active peer convergence detection instead of hardcoded 5s sleep Chaos infrastructure improvements (from discovery-rework branch): - Pre-built Docker image instead of per-service build at scale - --nodes flag in chaos.sh for runtime topology size override |
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56d39f223b |
Add ECN congestion signaling and transport congestion detection
Implement hop-by-hop ECN congestion signaling through the FMP layer, transport-level congestion detection via kernel drop counters, and chaos harness integration for end-to-end validation. FMP/session ECN plumbing: - Thread ce_flag parsed at link layer through dispatch_link_message, handle_session_datagram, handle_session_payload, and handle_encrypted_session_msg to session delivery - Replace hardcoded false in session-layer record_recv() with actual ce_flag, activating ecn_ce_count tracking in session MMP ECN congestion detection and CE relay: - Add EcnConfig (node.ecn.*) with configurable loss_threshold (5%) and etx_threshold (3.0) for transit congestion detection - Add send_encrypted_link_message_with_ce() that ORs FLAG_CE into FMP header flags; original method delegates with ce_flag=false - Compute outgoing_ce = incoming_ce || local congestion on next-hop link, enabling hop-by-hop CE relay through transit nodes IPv6 ECN-CE marking: - Mark ECN-CE (0b11) in IPv6 Traffic Class on received DataPackets before TUN delivery when FMP CE flag is set - Only marks ECN-capable packets (ECT(0)/ECT(1)); Not-ECT packets unchanged per RFC 3168 Transport congestion abstraction and UDP kernel drop detection: - Add TransportCongestion struct to transport layer for transport- agnostic local congestion indicators - Replace tokio::UdpSocket with AsyncFd<socket2::Socket> using libc::recvmsg() with ancillary data parsing - Enable SO_RXQ_OVFL for kernel receive buffer drop counter on every packet, wiring up previously-stubbed UdpStats.kernel_drops - Add TransportDropState for per-transport delta tracking with 1s tick sampling via sample_transport_congestion() - Extend detect_congestion() with transport kernel drop check alongside MMP loss metrics Congestion monitoring and control: - Add CongestionStats (ce_forwarded, ce_received, congestion_detected, kernel_drop_events) to NodeStats with snapshot serialization - Wire counters into forwarding path, session handler, and transport drop sampling with rate-limited warn logging (5s interval) - Expose congestion data in show_routing control query and ecn_ce_count in show_mmp peer entries - Add congestion counters to fipstop routing tab in two-column layout Chaos harness integration: - Add query_routing(), query_transports(), snapshot_all_congestion() to chaos control module - Add congestion/kernel-drop log analysis in logs module - Add congestion-stress scenario: 10-node tree, 1 Mbps bandwidth, 5-10% netem loss, heavy iperf3 traffic - Add IngressConfig for tc ingress policing with per-peer policer filters simulating upstream bandwidth bottlenecks - Add iperf3 JSON result capture to traffic manager for throughput measurement across scenarios - Add ECN A/B test scenarios (ecn-ab-on/off.yaml) with ingress policing and comparison script - Enable TCP ECN negotiation (tcp_ecn=1 sysctl) in container entrypoint for end-to-end CE propagation Tests: - 10 ECN unit/integration tests: mark_ipv6_ecn_ce variants, CE relay chain (3-node propagation), EcnConfig serde roundtrip - 3 transport drop congestion detection unit tests Documentation: - Update fips-mesh-layer.md: replace outdated CE Echo stub with full ECN Congestion Signaling section covering detection logic, CE relay, IPv6 marking, session tracking, and monitoring counters - Update fips-configuration.md: add node.ecn.* parameter table and ecn block in complete reference YAML - Update fips-transport-layer.md: add Congestion Reporting section with TransportCongestion struct, congestion() trait method, and per-transport status; document AsyncFd/recvmsg/SO_RXQ_OVFL in UDP - Update chaos README: add congestion/ECN scenario docs, ingress traffic control, and iperf3 JSON capture sections - Update README.md: add ECN to features list and "What works today"; update transport and tooling entries |
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66c268a564 |
Add static and stochastic Docker test harnesses
Move examples/docker-network/ to testing/static/ and add testing/chaos/ as a new stochastic simulation harness. testing/static/ — Static 5-node test harness: - Fixed mesh, chain, and mesh-public topologies with docker compose - Manual test scripts (ping, iperf, netem) - Build script, config generation, key derivation testing/chaos/ — Stochastic network simulation: - Python orchestrator generating N-node FIPS meshes with dynamic network conditions, driven by reproducible YAML scenarios - Topology generation: random geometric, Erdos-Renyi, or chain graphs with BFS connectivity guarantee - Per-link netem: HTB classful qdiscs with u32 filters for per-peer impairment (delay, loss, jitter), stochastic mutation across configurable policy profiles - Per-link bandwidth pacing: HTB rate limiting with configurable tiers (1/10/100/1000 mbps) randomly assigned per edge - Link flaps: tc netem 100% loss with graph connectivity protection - Node churn: docker stop/start with netem re-application on restart, shared down_nodes tracking across all managers - Traffic generation: random iperf3 sessions between node pairs - Down-node guards: all docker exec callers check container liveness, auto-detect crashed containers via is_container_running() safety net - Log collection and post-run analysis (panics, errors, sessions, MMP metrics, tree reconvergence) - chaos.sh wrapper with --seed, --duration, --verbose, --list options - Four scenarios: smoke-10, chaos-10, churn-10, churn-20 |