dcapwell commented on code in PR #28:
URL: https://github.com/apache/cassandra-accord/pull/28#discussion_r1092243172


##########
accord-core/src/test/java/accord/impl/basic/DelayedExecutorService.java:
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@@ -0,0 +1,107 @@
+package accord.impl.basic;
+
+import accord.burn.random.Decision;
+import accord.burn.random.IntRange;
+import accord.burn.random.RandomInt;
+import accord.burn.random.SegmentedIntRange;
+import org.apache.cassandra.concurrent.FutureTask;
+
+import java.util.Collections;
+import java.util.List;
+import java.util.Random;
+import java.util.concurrent.AbstractExecutorService;
+import java.util.concurrent.Callable;
+import java.util.concurrent.Executors;
+import java.util.concurrent.TimeUnit;
+
+public class DelayedExecutorService extends AbstractExecutorService
+{
+    private final PendingQueue pending;
+    private final Random random;
+    private final RandomInt jitterInNano;
+
+    public DelayedExecutorService(PendingQueue pending, Random random)
+    {
+        this.pending = pending;
+        this.random = random;
+        this.jitterInNano = new SegmentedIntRange(
+                new IntRange(microToNanos(0), microToNanos(50)),
+                new IntRange(microToNanos(50), msToNanos(5)),
+                // this is different from Apache Cassandra Simulator as this 
is computed differently for each executor

Review Comment:
   > Ideally it would probably be per-node for both
   
   makes sense, nodes coordinating to act badly at the same time isn't 
realistic.
   
   > I thought the C* simulator also used the random walk behaviour for jitter, 
but it looks like it doesn't. It would be good if both did, to simulate nodes 
becoming unhealthy for a period
   
   At least in this context I see `RandomWalkDecision` and tested and don't see 
such a behavior... Changed test to `RandomWalkPeriod` and see do see some 
logical temporal behavior but don't 100% grasp why yet; below are the results 
in my testing
   
   ```
   # RandomWalkDecision for 10k samples
   True seen 2 times in a row
   True seen 2 times in a row
   True seen 2 times in a row
   True seen 3 times in a row
   True seen 2 times in a row
   True seen 2 times in a row
   True seen 2 times in a row
   True seen 3 times in a row
   True seen 2 times in a row
   True seen 2 times in a row
   True seen 2 times in a row
   True seen 2 times in a row
   True seen 2 times in a row
   True seen 2 times in a row
   True seen 2 times in a row
   True seen 4 times in a row
   True seen 2 times in a row
   True seen 2 times in a row
   True seen 2 times in a row
   True seen 2 times in a row
   True seen 2 times in a row
   True seen 2 times in a row
   True seen 2 times in a row
   True seen 2 times in a row
   True seen 2 times in a row
   True seen 2 times in a row
   True seen 2 times in a row
   ```
   
   ```
   # RandomWalkPeriod for 10k samples
   Seq 82
   Seq 136
   Seq 18
   Seq 4
   Seq 2
   Seq 7
   Seq 3
   Seq 8
   Seq 3
   Seq 10
   Seq 34
   Seq 5
   Seq 15
   Seq 214
   Seq 13
   Seq 2
   Seq 6
   Seq 216
   Seq 243
   ```
   
   The result are sequences seen where the result is > the mid point of the 
range, so with `new LongRange(100, 2000, MICROSECONDS, NANOSECONDS)` those are 
sequences seen greater than 1ms.
   
   I do agree this type of behavior is desirable, so will take a look at this 
logic and see if I can get a working `Decision` that has a temporal behavior of 
returning `true`; ill time box it to a 1-3h though



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