merge: Do not require interference model during topology construction (#102)

This pull request refactors the existing workload interference model in order 
to remove a dependency on it during the topology construction. With this change, 
interference domains (e.g., a single host) can be constructed independently of the 
interference profiles of virtual machines. 

## Implementation Notes :hammer_and_pick:

* Move VM interference model into compute simulator
* Remove convergence listener parameter 
* Remove FlowEngine from SimMachineContext 
* Remove timestamp parameter from SimTrace 
* Pass interference key via parameter
* Move interference logic into VmInterferenceMember 
* Prevent boxing in interference algorithm 
* Extract Random dependency from interference model
* Add separate error host state 
* Simplify constructor of SimHost 
* Make interference domain independent of profile 

## External Dependencies :four_leaf_clover:

* N/A

## Breaking API Changes :warning:

* The interface of `VmInterferenceModel` is changed. Users do not need to 
   provide a seed for the model anymore.
* A `VmInterferenceModel` should be passed via the metadata parameter of 
  `startWorkload` to enable workload interference.

1 files changed, 4 insertions, 3 deletions

diff --git a/opendc-experiments/opendc-experiments-capelin/src/jmh/kotlin/org/opendc/experiments/capelin/CapelinBenchmarks.kt b/opendc-experiments/opendc-experiments-capelin/src/jmh/kotlin/org/opendc/experiments/capelin/CapelinBenchmarks.kt
index fd2c26f0..c09ce96a 100644
--- a/opendc-experiments/opendc-experiments-capelin/src/jmh/kotlin/org/opendc/experiments/capelin/CapelinBenchmarks.kt
+++ b/opendc-experiments/opendc-experiments-capelin/src/jmh/kotlin/org/opendc/experiments/capelin/CapelinBenchmarks.kt
@@ -55,7 +55,7 @@ class CapelinBenchmarks {
     fun setUp() {
         val loader = ComputeWorkloadLoader(File("src/test/resources/trace"))
         val source = trace("bitbrains-small")
-        vms = source.resolve(loader, Random(1L)).vms
+        vms = trace("bitbrains-small").resolve(loader, Random(1L))
         topology = checkNotNull(object {}.javaClass.getResourceAsStream("/topology.txt")).use { clusterTopology(it) }
     }
 
@@ -68,12 +68,13 @@ class CapelinBenchmarks {
         val runner = ComputeServiceHelper(
             coroutineContext,
             clock,
-            computeScheduler
+            computeScheduler,
+            seed = 0L
         )
 
         try {
             runner.apply(topology, isOptimized)
-            runner.run(vms, 0)
+            runner.run(vms, interference = true)
         } finally {
             runner.close()
         }