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Teardown runs from a finally, so it also runs after a failed setup, and it was guarded only on the topology and the compose file, both of which are set well before any container exists. A scenario that died bringing its containers up therefore ran the whole harvest anyway: final snapshots, docker logs, the analysis, the assertions and the metadata, all addressing containers by names that are global to the host. What it left behind was not an empty directory an investigator would notice but a full and plausible one, in the recorded case ten node logs and an analysis reporting two promotions and two parent switches, every byte of it from a different scenario's mesh. Gate the harvest on whether the containers ever started, and leave the compose down outside that gate so a partly successful start still gets cleaned up. Record the outcome in a status file in every result directory, naming the run as completed, interrupted, aborted, setup-failed or teardown-failed, alongside the scenario, the seed and the container names it used. With the harvest gated, the presence of an analysis file is now itself proof that the scenario's own mesh existed, and the status file says which of the several ways a run can end applies. A run cut short by a signal keeps the existing exit codes rather than gaining one of its own: what it collected before stopping is real and still worth reporting, the status file records that it was truncated, and every wrapper already reports a Ctrl-C of its own. Log collection never looked at the status of docker logs. It concatenated stdout and stderr unconditionally, so collecting from containers that were not there wrote the daemon's "No such container" reply into each node log and analysed the result as a mesh with no panics, no errors and no sessions, which reads exactly like a clean run and exits zero. Check the return code, and treat a harvest that cannot read every container, or that reads none, as a failed teardown. A teardown that raises now also reports on the same footing as a run that never started, instead of escaping past the exit codes as a bare traceback and being read as a malformed command line.
311 lines
14 KiB
Markdown
311 lines
14 KiB
Markdown
# Stochastic Network Simulation
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Automated network testing for FIPS. Generates random or explicit
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topologies, spins up Docker containers, and applies configurable
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stressors (network impairment, link flaps, traffic generation, node
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churn) over a timed simulation run. Scenarios cover general stress
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testing, cost-based parent selection, mixed link technologies
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(fiber/Bluetooth/WiFi), and transport-specific validation (UDP, TCP,
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Ethernet). Logs are collected and analyzed automatically.
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## Prerequisites
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- Docker with the compose plugin
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- Rust toolchain (for building the FIPS binary)
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- Python 3 with `pyyaml` and `jinja2` packages
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## Quick Start
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```bash
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./testing/chaos/scripts/build.sh
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./testing/chaos/scripts/chaos.sh smoke-10
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```
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## Available Scenarios
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### General stress tests
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Random topologies with increasing stressor intensity.
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| Scenario | Nodes | Topology | Duration | Netem | Link Flaps | Traffic | Node Churn | Bandwidth |
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| -------- | ----- | ---------------- | -------- | ----- | ---------- | ------- | ---------- | --------- |
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| smoke-10 | 10 | random_geometric | 60s | -- | -- | -- | -- | -- |
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| chaos-10 | 10 | random_geometric | 120s | yes | yes | yes | -- | -- |
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| churn-10 | 10 | random_geometric | 600s | yes | yes | yes | yes | -- |
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| churn-20 | 20 | erdos_renyi | 600s | yes | yes | yes | yes | yes |
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- **smoke-10**: Baseline sanity check. No stressors, just verify tree convergence.
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- **chaos-10**: Network degradation (5-50ms delay, 0-2% loss), link flaps (max 2
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down, 10-30s), and iperf traffic (max 3 concurrent). Netem mutates 30% of
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links every 15-30s between normal and degraded policies.
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- **churn-10**: Extended run with node churn (1 node down at a time, 30-90s).
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Tests tree re-convergence after node departure/rejoin.
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- **churn-20**: Aggressive scale test. Erdos-Renyi topology, up to 5 nodes down
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simultaneously, bandwidth tiers (1/10/100/1000 Mbps), `protect_connectivity`
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disabled (partitions allowed).
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### Cost-based parent selection
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Explicit topologies with heterogeneous link types (fiber, Bluetooth, WiFi) to
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test that the spanning tree selects optimal parents based on link cost.
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| Scenario | Nodes | Shape | Link types | Duration | What it tests |
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| ----------------- | ----- | --------------- | ------------------------ | -------- | ------------------------------------------------------------------- |
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| cost-avoidance | 4 | Diamond | Fiber + Bluetooth | 120s | n04 picks fiber parent (n03) over Bluetooth parent (n02) |
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| depth-vs-cost | 4 | Linear tree | Fiber + Bluetooth | 120s | Cost tradeoff: depth vs. Bluetooth link quality |
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| bottleneck-parent | 10 | Tree with BT | Fiber + Bluetooth | 120s | n06 avoids Bluetooth bottleneck via n02, picks fiber via n03 |
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| cost-mixed-7node | 7 | Multi-type tree | Fiber + Bluetooth + WiFi | 180s | n06 prefers fiber (n03) over WiFi (n04) |
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| cost-reeval | 4 | Diamond | Fiber (mutated) | 180s | Periodic re-evaluation triggers parent switch (reeval_interval=15s) |
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| cost-stability | 4 | Diamond | WiFi (all) | 180s | Hysteresis prevents flapping when costs vary within 20% band |
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- **cost-avoidance**, **depth-vs-cost**: Minimal scenarios validating the core
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cost formula. Bluetooth (L2CAP) links use 15-40ms delay and 2-8% loss;
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fiber uses 1-5ms delay and 0-1% loss.
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- **bottleneck-parent**: Larger topology where some nodes have both fiber and
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Bluetooth paths to choose from, and one node (n09) is stuck with Bluetooth
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(no alternative).
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- **cost-mixed-7node**: Three link technologies in one mesh. Traffic enabled.
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- **cost-reeval**: Netem mutation (50% fraction, every 12-18s) degrades random
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links. FIPS override sets `reeval_interval_secs=15` so periodic re-evaluation
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catches cost asymmetry. Look for `trigger=periodic` in logs.
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- **cost-stability**: All links are WiFi. Mutation swings costs between
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`slightly_better` and `slightly_worse` — within the hysteresis band. Expect
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≤ 5 parent switches over 180s.
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### Mixed-technology
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Larger explicit topologies combining multiple link technologies.
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| Scenario | Nodes | Link types | Duration | Netem mutation | What it tests |
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| ---------------- | ----- | ------------------------ | -------- | -------------- | ------------------------------------------------ |
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| mixed-technology | 10 | Fiber + Bluetooth + WiFi | 180s | 20%/30-60s | Tree convergence across heterogeneous link types |
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### Transport-specific
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Explicit topologies exercising non-UDP transports.
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| Scenario | Nodes | Transport | Shape | Duration | Netem | Link Flaps | What it tests |
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| ------------- | ----- | -------------- | ----- | -------- | ----- | ---------- | ------------------------------------------ |
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| ethernet-only | 4 | Ethernet | Ring | 90s | yes | -- | AF_PACKET transport with beacon discovery |
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| ethernet-mesh | 6 | UDP + Ethernet | Mesh | 120s | yes | yes | Mixed UDP/Ethernet, netem mutation + flaps |
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| tcp-only | 4 | TCP | Ring | 90s | yes | -- | TCP transport with static peer config |
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| tcp-chain | 4 | TCP | Chain | 90s | yes | -- | TCP multi-hop routing through chain |
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| tcp-mesh | 6 | UDP + TCP | Mesh | 120s | yes | yes | Mixed UDP/TCP, netem mutation + flaps |
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- **ethernet-only**: 4-node ring on raw Ethernet (AF_PACKET). Peers discovered
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via beacons, not static config. Minimal netem (1-5ms delay).
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- **ethernet-mesh**: Mirrors `tcp-mesh` topology but with Ethernet instead of
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TCP. UDP edges use static config; Ethernet edges use beacon discovery.
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- **tcp-only**: 4-node ring using TCP on port 8443. Tests connect-on-send,
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FMP framing over TCP, and reconnection. Netem enabled (1-10ms delay, 0-1%
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loss).
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- **tcp-chain**: 4-node linear chain, all TCP. Tests multi-hop routing over
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TCP-only mesh.
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- **tcp-mesh**: 6-node mesh with 4 UDP and 3 TCP edges. Both transports use
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static peer config. Netem mutation (30% fraction, every 20-40s) and link
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flaps (1 link max, 10-20s down).
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### Congestion and ECN
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Scenarios testing ECN congestion signaling and transport-level congestion
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detection.
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| Scenario | Nodes | Topology | Duration | What it tests |
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| ------------------ | ----- | -------- | -------- | ---------------------------------------------------------- |
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| congestion-stress | 10 | Tree | 120s | CE marking under kernel drops and MMP loss detection |
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| ecn-ab-on / ecn-ab-off | 6 | Tree | 120s | A/B throughput comparison: ECN enabled vs disabled |
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- **congestion-stress**: 10-node tree with 1 Mbps egress bandwidth caps,
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5-10% netem loss, and heavy iperf3 traffic. Ingress policing (1000 kbps)
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and small `recv_buf_size` (4 KB) trigger both MMP loss detection and
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`SO_RXQ_OVFL` kernel socket drops. Validates end-to-end CE propagation:
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transit nodes detect congestion, set CE flag, destinations receive
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CE-marked packets, `ecn_ce_count` reported in MMP.
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- **ecn-ab-on / ecn-ab-off**: Paired scenarios with identical conditions
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(6-node tree, 10 Mbps egress, 1000 kbps ingress policing, 10ms link
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delay, 8 KB recv buffer) differing only in `ecn.enabled`.
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`ecn-ab-test.sh` runs both and compares throughput and congestion
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counters. Initial results: +10.2% recv throughput with ECN enabled.
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### Ingress Traffic Control
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Scenarios can include `ingress` configuration to simulate upstream bandwidth
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bottlenecks using tc ingress policing:
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```yaml
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ingress:
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enabled: true
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tiers_kbps: [1000] # per-peer rate limit in kbps
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burst_bytes: 10000 # policer burst allowance
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```
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Per-peer u32 filters on the ingress qdisc (`parent ffff:`) rate-limit
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inbound packets. Combined with small `recv_buf_size`, this reliably triggers
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`SO_RXQ_OVFL` kernel socket drops for congestion detection testing.
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### iperf3 JSON Capture
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Traffic sessions capture iperf3 results using `--json` output. Results are
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collected per-session from containers and saved as `iperf3-results.json` in
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the scenario output directory, enabling automated throughput analysis across
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scenario runs.
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## CLI Options
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| Option | Description |
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| ----------------- | ------------------------------------ |
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| `-v`, `--verbose` | Enable debug logging |
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| `--seed N` | Override the scenario's random seed |
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| `--duration secs` | Override the scenario's duration |
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| `--list` | List available scenarios |
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The scenario argument accepts either a name (`churn-10`) or a file
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path (`scenarios/churn-10.yaml`).
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## Scenario YAML Format
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Annotated example based on `churn-10.yaml`:
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```yaml
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scenario:
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name: "churn-10"
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seed: 42 # deterministic RNG seed
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duration_secs: 600 # total simulation time
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topology:
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num_nodes: 10
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algorithm: random_geometric # or erdos_renyi, chain
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params:
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radius: 0.5 # algorithm-specific parameter
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ensure_connected: true # retry until graph is connected
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subnet: "172.20.0.0/24"
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ip_start: 10 # first node gets .10
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netem:
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enabled: true
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default_policy:
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delay_ms: { min: 5, max: 50 }
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jitter_ms: { min: 1, max: 10 }
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loss_pct: { min: 0, max: 2 }
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mutation:
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interval_secs: { min: 20, max: 45 } # re-roll interval
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fraction: 0.3 # fraction of links mutated
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policies: # named policy profiles
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normal:
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delay_ms: [5, 20]
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loss_pct: [0, 1]
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degraded:
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delay_ms: [50, 100]
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jitter_ms: [10, 30]
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loss_pct: [3, 8]
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link_flaps:
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enabled: true
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interval_secs: { min: 30, max: 60 }
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max_down_links: 2
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down_duration_secs: { min: 10, max: 30 }
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protect_connectivity: true # never partition the graph
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traffic:
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enabled: true
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max_concurrent: 3
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interval_secs: { min: 10, max: 30 }
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duration_secs: { min: 5, max: 15 }
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parallel_streams: 4
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node_churn:
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enabled: true
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interval_secs: { min: 60, max: 180 }
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max_down_nodes: 1
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down_duration_secs: { min: 30, max: 90 }
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protect_connectivity: true # never kill the last path
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bandwidth:
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enabled: false # per-link HTB rate limiting
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tiers_mbps: [1, 10, 100, 1000] # each link randomly assigned a tier
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logging:
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rust_log: "debug"
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output_dir: "./sim-results"
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```
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## Topology Algorithms
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| Algorithm | Parameters | Description |
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| ---------------- | -------------------- | ------------------------------------------------------- |
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| random_geometric | radius (default 0.5) | Place nodes in unit square, connect pairs within radius |
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| erdos_renyi | p (default 0.3) | Include each edge independently with probability p |
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| chain | -- | Linear chain: n01--n02--...--nN |
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| explicit | adjacency list | Hardcoded edges with optional per-edge transport type |
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When `ensure_connected` is true (default), the generator retries up to
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50 times to produce a connected graph.
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### Directed Outbound Configs
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The config generator assigns each static-config edge (UDP or TCP) to
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exactly one node for outbound connection using a BFS spanning tree rooted
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at the lowest node ID. Tree edges are assigned parent-to-child; non-tree
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edges are assigned from the lower node ID to the higher. This eliminates
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the dual-connect race condition where both sides initiate simultaneously,
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and creates a clear "owning side" for each link — relevant for
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auto-reconnect testing. Ethernet edges are excluded from static config
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since they use beacon discovery.
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## Output
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Results written to `sim-results/` (configurable via
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`logging.output_dir`):
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- `status.txt` -- How the run ended, plus the scenario, the seed and the
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container names it used; one `key=value` per line
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- `analysis.txt` -- Summary: panics, errors, sessions, metrics
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- `metadata.txt` -- Seed, node count, edges, adjacency list
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- `runner.log` -- Orchestration events (topology, netem, churn, traffic) with timestamps
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- `fips-node-nXX.log` -- Per-node log output
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The `status` field reads:
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- `completed` -- ran for its configured duration
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- `interrupted` -- a signal cut the run short, so the artifacts are real
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but describe less time than the scenario asked for
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- `aborted` -- the run raised part way through; same caveat, and
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`runner.log` carries the traceback
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- `setup-failed` -- the containers never started
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- `teardown-failed` -- the mesh ran but its logs or analysis could not be
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produced
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A `setup-failed` directory holds `runner.log` and `status.txt` and nothing
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else. Nothing is harvested, because container names are global to the host
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and reading them after a failed setup describes whichever run holds them
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now. So `analysis.txt` in a result directory is proof that this scenario's
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own mesh existed. A directory with no `status.txt` was written before this
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was the case and says nothing either way.
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Exit codes:
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- `0` -- Ran to completion, no panics, every assertion passed
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- `1` -- The scenario file could not be loaded, or a second interrupt
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arrived while the first was being handled
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- `2` -- Panics found in the collected node logs. Also what the argument
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parser exits with when it rejects the command line, before any run starts
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- `3` -- A post-run assertion failed
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- `4` -- Setup, warmup, the simulation loop or teardown raised, so the run
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did not complete; `runner.log` carries the traceback
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Codes 2 and 3 describe what a mesh that ran did. Code 4 says there is
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nothing to describe, and takes precedence over both. Code 2 is dual-use:
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a run that never started cannot have panicked, so read it together with
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whether `runner.log` exists.
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A run stopped by a signal exits on this same ladder rather than one of its
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own: what it collected before stopping is still worth reporting, and
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`status.txt` says it was cut short. `chaos.sh` reports 130 for a Ctrl-C of
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its own accord.
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## Creating Custom Scenarios
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1. Copy an existing scenario from `scenarios/`.
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2. Adjust topology size, algorithm, and stressor parameters.
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3. Run with `./testing/chaos/scripts/chaos.sh path/to/custom.yaml`.
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