igneum/sim/horizon/network
2026-10-06 20:52:33 +00:00
..
burst-schedule.csv Horizon lane 5, network: block rate, propagation, node cost, bandwidth, pruning and the snapshot path, with the run A schedule and scripts 2026-10-06 20:52:33 +00:00
controller-1bps.md Horizon lane 5, network: block rate, propagation, node cost, bandwidth, pruning and the snapshot path, with the run A schedule and scripts 2026-10-06 20:52:33 +00:00
controller-10bps.md Horizon lane 5, network: block rate, propagation, node cost, bandwidth, pruning and the snapshot path, with the run A schedule and scripts 2026-10-06 20:52:33 +00:00
controller.py Horizon lane 5, network: block rate, propagation, node cost, bandwidth, pruning and the snapshot path, with the run A schedule and scripts 2026-10-06 20:52:33 +00:00
cost-tables.md Horizon lane 5, network: block rate, propagation, node cost, bandwidth, pruning and the snapshot path, with the run A schedule and scripts 2026-10-06 20:52:33 +00:00
cost.py Horizon lane 5, network: block rate, propagation, node cost, bandwidth, pruning and the snapshot path, with the run A schedule and scripts 2026-10-06 20:52:33 +00:00
propagation.py Horizon lane 5, network: block rate, propagation, node cost, bandwidth, pruning and the snapshot path, with the run A schedule and scripts 2026-10-06 20:52:33 +00:00
README.md Horizon lane 5, network: block rate, propagation, node cost, bandwidth, pruning and the snapshot path, with the run A schedule and scripts 2026-10-06 20:52:33 +00:00
results-2.md Horizon lane 5, network: block rate, propagation, node cost, bandwidth, pruning and the snapshot path, with the run A schedule and scripts 2026-10-06 20:52:33 +00:00
results.md Horizon lane 5, network: block rate, propagation, node cost, bandwidth, pruning and the snapshot path, with the run A schedule and scripts 2026-10-06 20:52:33 +00:00
run-batch.sh Horizon lane 5, network: block rate, propagation, node cost, bandwidth, pruning and the snapshot path, with the run A schedule and scripts 2026-10-06 20:52:33 +00:00
run-batch2.sh Horizon lane 5, network: block rate, propagation, node cost, bandwidth, pruning and the snapshot path, with the run A schedule and scripts 2026-10-06 20:52:33 +00:00
runA-schedule.csv Horizon lane 5, network: block rate, propagation, node cost, bandwidth, pruning and the snapshot path, with the run A schedule and scripts 2026-10-06 20:52:33 +00:00

sim/horizon/network

Models behind docs/analysis/horizon/network.md (Horizon lane 5, network, 6 October 2026). Python 3.10, standard library only; the Mac, under the main checkout's run lock (/Users/joshm/Projects/igneum/tools/lock/with-lock.sh run nice -n 19 ...). Outputs are counts, shares and seconds, never timings of this machine.

File What Run
propagation.py Poisson block production, star or mesh topology, lognormal link latency, inv/request/block hops, a hub (or every node) with a per-block validation cost and a queue, GHOSTDAG colouring with the first k-cluster condition, mergeset and parent caps, the natural reorg depth at miner 0 python3 sim/horizon/network/propagation.py --grid (the bps x delay grid); single runs with --topology star --nodes 41 --bps 10 --k 124 --link 40 --hub-s0 115 --schedule sim/horizon/network/runA-schedule.csv --seconds 1200
run-batch.sh, run-batch2.sh the lane's runs, appended to results.md and results-2.md bash sim/horizon/network/run-batch.sh (about 2 min), run-batch2.sh (about 2 min)
runA-schedule.csv run A's measured production per minute (the Devnet 2 seed's PoW accepted lines on igneum-build-1, /home/build/dn2seed-A.log) input to --schedule
burst-schedule.csv a 26 blocks/s genesis burst for 5 min then 10 bps input to --schedule
controller.py the difficulty rule against a wide DAG: the fork's blue-work-over-capped-chain-step estimator, the whole-DAG estimator (Kaspa's window) and a red-corrected blue estimator, closed loop with the 3% / 10% clamps python3 sim/horizon/network/controller.py --delays 0.3,1,2,3,5,10,30 (10 bps); --bps 1 --k 18 --delays 0.3,2,5,20,30,60 --lambda0 2.6 (1 bps); outputs controller-10bps.md, controller-1bps.md
cost.py GHOSTDAG parameters per rate, the vote bounds, bytes per node per day, CPU per block, RSS and disk, pruned and archival storage, subsidy and payout intervals, the solo-miner table, finality timing, light-client bytes; every input labelled in INPUTS python3 sim/horizon/network/cost.py > sim/horizon/network/cost-tables.md

Seeds: 7 everywhere. Results files: results.md, results-2.md, controller-10bps.md, controller-1bps.md, cost-tables.md.