bench(stream): use canonical BerlinMOD corpus (2 195 303 instants, 141 vehicles)#50
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…1 vehicles) The stream benchmark corpus is the canonical BerlinMOD instants at scale factor 0.005 — the same dataset as the batch benchmark — sourced from berlinmod-3db-canonical/instants.csv (SRID 3857 EWKB), reprojected EPSG:3857→EPSG:4326 at load.
…al corpus) MobilityNebula Q1 throughput on the canonical BerlinMOD corpus (2 195 303 instants, 141 vehicles): continuous 146,715 ev/s, windowed 170,403 ev/s, snapshot 128,629 ev/s. Stock runtime image (marianamgarcez/mobility-nebula:runtime), 2 worker threads, TCP source. Q2–Q9 require a MEOS-enabled build.
All 27 Flink cells (9 queries × 3 forms) measured on the canonical 2 195 303-event corpus (141 vehicles, scale factor 0.005). MobilityKafka Q1-Q3 measured; Q4-continuous is O(V²) at 141 vehicles and timed out; Q8-windowed/snapshot and Q9-windowed/snapshot also measured. MobilityNebula Q1 results carried from the preceding commit.
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The stream benchmark corpus is the canonical BerlinMOD instants at scale factor 0.005 — the same dataset as the batch benchmark — sourced from berlinmod-3db-canonical/instants.csv (SRID 3857 EWKB), reprojected EPSG:3857→EPSG:4326 at load. Timing cells are cleared pending re-benchmark on this corpus.