refactor(sim/compute): Re-implement using flow2

This change re-implements the OpenDC compute simulator framework using
the new flow2 framework for modelling multi-edge flow networks. The
re-implementation is written in Java and focusses on performance and
clean API surface.

1 files changed, 3 insertions, 3 deletions

diff --git a/opendc-faas/opendc-faas-simulator/src/test/kotlin/org/opendc/faas/simulator/SimFaaSServiceTest.kt b/opendc-faas/opendc-faas-simulator/src/test/kotlin/org/opendc/faas/simulator/SimFaaSServiceTest.kt
index 9970d93a..aac54f57 100644
--- a/opendc-faas/opendc-faas-simulator/src/test/kotlin/org/opendc/faas/simulator/SimFaaSServiceTest.kt
+++ b/opendc-faas/opendc-faas-simulator/src/test/kotlin/org/opendc/faas/simulator/SimFaaSServiceTest.kt
@@ -58,15 +58,15 @@ internal class SimFaaSServiceTest {
         val cpuNode = ProcessingNode("Intel", "Xeon", "amd64", 2)
 
         machineModel = MachineModel(
-            cpus = List(cpuNode.coreCount) { ProcessingUnit(cpuNode, it, 1000.0) },
-            memory = List(4) { MemoryUnit("Crucial", "MTA18ASF4G72AZ-3G2B1", 3200.0, 32_000) }
+            /*cpus*/ List(cpuNode.coreCount) { ProcessingUnit(cpuNode, it, 1000.0) },
+            /*memory*/ List(4) { MemoryUnit("Crucial", "MTA18ASF4G72AZ-3G2B1", 3200.0, 32_000) }
         )
     }
 
     @Test
     fun testSmoke() = runSimulation {
         val random = Random(0)
-        val workload = spyk(object : SimFaaSWorkload, SimWorkload by SimRuntimeWorkload(1000) {
+        val workload = spyk(object : SimFaaSWorkload, SimWorkload by SimRuntimeWorkload(1000, 1.0) {
             override suspend fun invoke() {
                 delay(random.nextInt(1000).toLong())
             }