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vendor/k8s.io/kubernetes/test/integration/scheduler_perf/README.md

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+Scheduler Performance Test
+======
+
+Motivation
+------
+We already have a performance testing system -- Kubemark. However, Kubemark requires setting up and bootstrapping a whole cluster, which takes a lot of time.
+
+We want to have a standard way to reproduce scheduling latency metrics result and benchmark scheduler as simple and fast as possible. We have the following goals:
+
+- Save time on testing
+  - The test and benchmark can be run in a single box.
+    We only set up components necessary to scheduling without booting up a cluster.
+- Profiling runtime metrics to find out bottleneck
+  - Write scheduler integration test but focus on performance measurement.
+    Take advantage of go profiling tools and collect fine-grained metrics,
+    like cpu-profiling, memory-profiling and block-profiling.
+- Reproduce test result easily
+  - We want to have a known place to do the performance related test for scheduler.
+    Developers should just run one script to collect all the information they need.
+
+Currently the test suite has the following:
+
+- density test (by adding a new Go test)
+  - schedule 30k pods on 1000 (fake) nodes and 3k pods on 100 (fake) nodes
+  - print out scheduling rate every second
+  - let you learn the rate changes vs number of scheduled pods
+- benchmark
+  - make use of `go test -bench` and report nanosecond/op.
+  - schedule b.N pods when the cluster has N nodes and P scheduled pods. Since it takes relatively long time to finish one round, b.N is small: 10 - 100.
+
+
+How To Run
+------
+```
+cd kubernetes/test/component/scheduler/perf
+./test-performance.sh
+```
+
+
+<!-- BEGIN MUNGE: GENERATED_ANALYTICS -->
+[![Analytics](https://kubernetes-site.appspot.com/UA-36037335-10/GitHub/test/component/scheduler/perf/README.md?pixel)]()
+<!-- END MUNGE: GENERATED_ANALYTICS -->
+
+
+[![Analytics](https://kubernetes-site.appspot.com/UA-36037335-10/GitHub/test/integration/scheduler_perf/README.md?pixel)]()