test(simulator): Use longer traces for benchmarks

This change updates the JMH benchmarks to use longer traces in order to
measure the overhead of running the flow simulation as opposed to
setting up the benchmark.

1 files changed, 5 insertions, 11 deletions

diff --git a/opendc-simulator/opendc-simulator-compute/src/jmh/kotlin/org/opendc/simulator/compute/SimMachineBenchmarks.kt b/opendc-simulator/opendc-simulator-compute/src/jmh/kotlin/org/opendc/simulator/compute/SimMachineBenchmarks.kt
index 30797089..88ad7286 100644
--- a/opendc-simulator/opendc-simulator-compute/src/jmh/kotlin/org/opendc/simulator/compute/SimMachineBenchmarks.kt
+++ b/opendc-simulator/opendc-simulator-compute/src/jmh/kotlin/org/opendc/simulator/compute/SimMachineBenchmarks.kt
@@ -38,6 +38,7 @@ import org.opendc.simulator.core.SimulationCoroutineScope
 import org.opendc.simulator.core.runBlockingSimulation
 import org.opendc.simulator.resources.SimResourceInterpreter
 import org.openjdk.jmh.annotations.*
+import java.util.concurrent.ThreadLocalRandom
 import java.util.concurrent.TimeUnit
 
 @State(Scope.Thread)
@@ -63,22 +64,15 @@ class SimMachineBenchmarks {
         )
     }
 
-    @State(Scope.Benchmark)
+    @State(Scope.Thread)
     class Workload {
         lateinit var trace: Sequence<SimTraceWorkload.Fragment>
 
         @Setup
         fun setUp() {
-            trace = sequenceOf(
-                SimTraceWorkload.Fragment(0, 1000, 28.0, 1),
-                SimTraceWorkload.Fragment(1000, 1000, 3500.0, 1),
-                SimTraceWorkload.Fragment(2000, 1000, 0.0, 1),
-                SimTraceWorkload.Fragment(3000, 1000, 183.0, 1),
-                SimTraceWorkload.Fragment(4000, 1000, 400.0, 1),
-                SimTraceWorkload.Fragment(5000, 1000, 100.0, 1),
-                SimTraceWorkload.Fragment(6000, 1000, 3000.0, 1),
-                SimTraceWorkload.Fragment(7000, 1000, 4500.0, 1),
-            )
+            val random = ThreadLocalRandom.current()
+            val entries = List(10000) { SimTraceWorkload.Fragment(it * 1000L, 1000, random.nextDouble(0.0, 4500.0), 1) }
+            trace = entries.asSequence()
         }
     }