TEST(QoSPipelineTest, NoCorrections) {
uint64_t WINDOWS_SIZE = 10;
uint64_t CONTENTION_COOLDOWN = 10;
double_t FRATIONAL_THRESHOLD = 0.5;
MockSlaveUsage mockSlaveUsage(QOS_PIPELINE_FIXTURE1);
SerenityConfig conf;
conf["Detector"] = createAssuranceDetectorCfg(
WINDOWS_SIZE, CONTENTION_COOLDOWN, FRATIONAL_THRESHOLD);
conf.set(ENABLED_VISUALISATION, false);
conf.set(VALVE_OPENED, true);
QoSControllerPipeline* pipeline = new CpuQoSPipeline(conf);
// First iteration.
Result<QoSCorrections> corrections =
pipeline->run(mockSlaveUsage.usage().get());
EXPECT_NONE(corrections);
// Second iteration.
corrections = pipeline->run(mockSlaveUsage.usage().get());
EXPECT_SOME(corrections);
EXPECT_TRUE(corrections.get().empty());
delete pipeline;
}
TEST(QoSPipelineTest, FiltersNotProperlyFed) {
uint64_t WINDOWS_SIZE = 10;
uint64_t CONTENTION_COOLDOWN = 10;
double_t FRATIONAL_THRESHOLD = 0.5;
Try<mesos::FixtureResourceUsage> usages =
JsonUsage::ReadJson("tests/fixtures/pipeline/insufficient_metrics.json");
if (usages.isError()) {
LOG(ERROR) << "JsonSource failed: " << usages.error() << std::endl;
}
ResourceUsage usage;
usage.CopyFrom(usages.get().resource_usage(0));
SerenityConfig conf;
conf["Detector"] = createAssuranceDetectorCfg(
WINDOWS_SIZE, CONTENTION_COOLDOWN, FRATIONAL_THRESHOLD);
conf.set(ENABLED_VISUALISATION, false);
conf.set(VALVE_OPENED, true);
QoSControllerPipeline* pipeline = new CpuQoSPipeline(conf);
Result<QoSCorrections> corrections = pipeline->run(usage);
EXPECT_NONE(corrections);
delete pipeline;
}
TEST(QoSPipelineTest, NoCorrections) {
uint64_t WINDOWS_SIZE = 10;
uint64_t CONTENTION_COOLDOWN = 10;
double_t RELATIVE_THRESHOLD = 0.5;
MockSlaveUsage mockSlaveUsage(QOS_PIPELINE_FIXTURE1);
QoSControllerPipeline* pipeline =
new CpuQoSPipeline<RollingChangePointDetector>(
QoSPipelineConf(
ChangePointDetectionState::createForRollingDetector(
WINDOWS_SIZE,
CONTENTION_COOLDOWN,
RELATIVE_THRESHOLD),
ema::DEFAULT_ALPHA,
false,
true));
// First iteration.
Result<QoSCorrections> corrections =
pipeline->run(mockSlaveUsage.usage().get());
EXPECT_NONE(corrections);
// Second iteration.
corrections = pipeline->run(mockSlaveUsage.usage().get());
EXPECT_SOME(corrections);
EXPECT_TRUE(corrections.get().empty());
delete pipeline;
}
TEST(QoSPipelineTest, FiltersNotProperlyFed) {
uint64_t WINDOWS_SIZE = 10;
uint64_t CONTENTION_COOLDOWN = 10;
double_t RELATIVE_THRESHOLD = 0.5;
Try<mesos::FixtureResourceUsage> usages =
JsonUsage::ReadJson("tests/fixtures/pipeline/insufficient_metrics.json");
if (usages.isError()) {
LOG(ERROR) << "JsonSource failed: " << usages.error() << std::endl;
}
ResourceUsage usage;
usage.CopyFrom(usages.get().resource_usage(0));
QoSControllerPipeline* pipeline =
new CpuQoSPipeline<RollingChangePointDetector>(
QoSPipelineConf(
ChangePointDetectionState::createForRollingDetector(
WINDOWS_SIZE,
CONTENTION_COOLDOWN,
RELATIVE_THRESHOLD),
ema::DEFAULT_ALPHA,
false,
true));
Result<QoSCorrections> corrections = pipeline->run(usage);
EXPECT_NONE(corrections);
delete pipeline;
}
TEST(QoSIpcPipelineTest, AssuranceDetectorTwoDropCorrectionsWithEma) {
uint64_t WINDOWS_SIZE = 10;
uint64_t CONTENTION_COOLDOWN = 4;
double_t FRATIONAL_THRESHOLD = 0.3;
double_t SEVERITY_LEVEL = 1;
double_t NEAR_LEVEL = 0.1;
MockSlaveUsage mockSlaveUsage(QOS_PIPELINE_FIXTURE2);
SerenityConfig conf;
conf["Detector"] = createAssuranceDetectorCfg(
WINDOWS_SIZE,
CONTENTION_COOLDOWN,
FRATIONAL_THRESHOLD,
SEVERITY_LEVEL,
NEAR_LEVEL);
conf.set(ema::ALPHA, 0.9);
conf.set(ENABLED_VISUALISATION, false);
conf.set(VALVE_OPENED, true);
QoSControllerPipeline* pipeline = new CpuQoSPipeline(conf);
// First iteration.
Result<QoSCorrections> corrections =
pipeline->run(mockSlaveUsage.usage().get());
EXPECT_NONE(corrections);
ResourceUsage usage = mockSlaveUsage.usage().get();
const int32_t LOAD_ITERATIONS = 17;
LoadGenerator loadGen(
[](double_t iter) { return 1; },
new ZeroNoise(),
LOAD_ITERATIONS);
for (; loadGen.end(); loadGen++) {
// Test scenario: After 10 iterations create drop in IPC
// for executor num 3.
double_t ipcFor3Executor = (*loadGen)();
if (loadGen.iteration >= 11) {
ipcFor3Executor /= 2.0;
}
usage.mutable_executors(PR_4CPUS)->CopyFrom(
generateIPC(usage.executors(PR_4CPUS),
ipcFor3Executor,
(*loadGen).timestamp));
usage.mutable_executors(PR_2CPUS)->CopyFrom(
generateIPC(usage.executors(PR_2CPUS),
(*loadGen)(),
(*loadGen).timestamp));
// Third iteration (repeated).
corrections = pipeline->run(usage);
// Assurance Detector will wait for signal to be returned to the
// established state.
if (loadGen.iteration == 11 || loadGen.iteration == 16) {
EXPECT_SOME(corrections);
ASSERT_EQ(slave::QoSCorrection_Type_KILL,
corrections.get().front().type());
// Make sure that we do not kill PR tasks!
EXPECT_NE("serenityPR",
corrections.get().front().kill().executor_id().value());
EXPECT_NE("serenityPR2",
corrections.get().front().kill().executor_id().value());
} else {
EXPECT_SOME(corrections);
EXPECT_TRUE(corrections.get().empty());
}
}
delete pipeline;
}
TEST(QoSIpsPipelineTest, RollingFractionalDetectorOneDropCorrectionsWithEma) {
QoSPipelineConf conf;
ChangePointDetectionState cpdState;
// Detector configuration:
// How far we look back in samples.
cpdState.windowSize = 10;
// How many iterations detector will wait with creating another
// contention.
cpdState.contentionCooldown = 10;
// Defines how much (relatively to base point) value must drop to trigger
// contention.
// Most detectors will use that.
cpdState.fractionalThreshold = 0.5;
// Defines how many instructions can be done per one CPU in one second.
// This option helps RollingFractionalDetector to estimate severity of
// drop.
cpdState.severityLevel = 1000000000; // 1 Billion.
conf.cpdState = cpdState;
conf.emaAlpha = 0.4;
conf.visualisation = false;
// Let's start with QoS pipeline disabled.
conf.valveOpened = true;
MockSlaveUsage mockSlaveUsage(QOS_PIPELINE_FIXTURE3);
QoSControllerPipeline* pipeline =
new IpsQoSPipeline<RollingFractionalDetector>(conf);
// First iteration.
Result<QoSCorrections> corrections =
pipeline->run(mockSlaveUsage.usage().get());
EXPECT_NONE(corrections);
// Second iteration is used for manually configured load.
ResourceUsage usage = mockSlaveUsage.usage().get();
const int32_t LOAD_ITERATIONS = 14;
LoadGenerator loadGen(
[](double_t iter) { return 3000000000; },
new ZeroNoise(),
LOAD_ITERATIONS);
for (; loadGen.end(); loadGen++) {
// Test scenario: After 10 iterations create drop in IPS for executor num 3.
double ipsFor3Executor = (*loadGen)();
if (loadGen.iteration >= 11) {
ipsFor3Executor /= 3.0;
}
usage.mutable_executors(PR_4CPUS)->CopyFrom(
generateIPS(usage.executors(PR_4CPUS),
ipsFor3Executor,
(*loadGen).timestamp));
usage.mutable_executors(PR_2CPUS)->CopyFrom(
generateIPS(usage.executors(PR_2CPUS),
(*loadGen)(),
(*loadGen).timestamp));
// Third iteration (repeated).
corrections = pipeline->run(usage);
if (loadGen.iteration >= 13) {
EXPECT_SOME(corrections);
ASSERT_EQ(slave::QoSCorrection_Type_KILL,
corrections.get().front().type());
// Make sure that we do not kill PR tasks!
EXPECT_NE("serenityPR",
corrections.get().front().kill().executor_id().value());
EXPECT_NE("serenityPR2",
corrections.get().front().kill().executor_id().value());
} else {
EXPECT_SOME(corrections);
EXPECT_TRUE(corrections.get().empty());
}
}
delete pipeline;
}
TEST(QoSIpcPipelineTest,
AssuranceFractionalDetectorTwoDropCorrectionsWithEma) {
QoSPipelineConf conf;
ChangePointDetectionState cpdState;
// Detector configuration:
// How far we look back in samples.
cpdState.windowSize = 10;
// How many iterations detector will wait with creating another
// contention.
cpdState.contentionCooldown = 4;
// Defines how much (relatively to base point) value must drop to trigger
// contention.
// Most detectors will use that.
cpdState.fractionalThreshold = 0.3;
// Defines how to convert difference in values to CPU.
// This option helps RollingFractionalDetector to estimate severity of
// drop.
cpdState.severityLevel = 1;
cpdState.nearFraction = 0.1;
conf.cpdState = cpdState;
conf.emaAlpha = 0.9;
conf.visualisation = false;
// Let's start with QoS pipeline disabled.
conf.valveOpened = true;
MockSlaveUsage mockSlaveUsage(QOS_PIPELINE_FIXTURE2);
QoSControllerPipeline* pipeline =
new CpuQoSPipeline<AssuranceFractionalDetector>(conf);
// First iteration.
Result<QoSCorrections> corrections =
pipeline->run(mockSlaveUsage.usage().get());
EXPECT_NONE(corrections);
ResourceUsage usage = mockSlaveUsage.usage().get();
const int32_t LOAD_ITERATIONS = 17;
LoadGenerator loadGen(
[](double_t iter) { return 1; },
new ZeroNoise(),
LOAD_ITERATIONS);
for (; loadGen.end(); loadGen++) {
// Test scenario: After 10 iterations create drop in IPC
// for executor num 3.
double_t ipcFor3Executor = (*loadGen)();
if (loadGen.iteration >= 11) {
ipcFor3Executor /= 2.0;
}
usage.mutable_executors(PR_4CPUS)->CopyFrom(
generateIPC(usage.executors(PR_4CPUS),
ipcFor3Executor,
(*loadGen).timestamp));
usage.mutable_executors(PR_2CPUS)->CopyFrom(
generateIPC(usage.executors(PR_2CPUS),
(*loadGen)(),
(*loadGen).timestamp));
// Third iteration (repeated).
corrections = pipeline->run(usage);
// Assurance Detector will wait for signal to be returned to the
// established state.
if (loadGen.iteration == 11 || loadGen.iteration == 16) {
EXPECT_SOME(corrections);
ASSERT_EQ(slave::QoSCorrection_Type_KILL,
corrections.get().front().type());
// Make sure that we do not kill PR tasks!
EXPECT_NE("serenityPR",
corrections.get().front().kill().executor_id().value());
EXPECT_NE("serenityPR2",
corrections.get().front().kill().executor_id().value());
} else {
EXPECT_SOME(corrections);
EXPECT_TRUE(corrections.get().empty());
}
}
delete pipeline;
}
TEST(QoSIpcPipelineTest, RollingDetectorOneDropCorrectionsWithEma) {
uint64_t WINDOWS_SIZE = 10;
uint64_t CONTENTION_COOLDOWN = 10;
double_t RELATIVE_THRESHOLD = 0.3;
MockSlaveUsage mockSlaveUsage(QOS_PIPELINE_FIXTURE2);
QoSControllerPipeline* pipeline =
new CpuQoSPipeline<RollingChangePointDetector>(
QoSPipelineConf(
ChangePointDetectionState::createForRollingDetector(
WINDOWS_SIZE,
CONTENTION_COOLDOWN,
RELATIVE_THRESHOLD),
0.2, // Alpha = 1 means no smoothing. 0.2 means high smoothing.
false,
true));
// First iteration.
Result<QoSCorrections> corrections =
pipeline->run(mockSlaveUsage.usage().get());
EXPECT_NONE(corrections);
ResourceUsage usage = mockSlaveUsage.usage().get();
const int32_t LOAD_ITERATIONS = 16;
LoadGenerator loadGen(
[](double_t iter) { return 1; },
new ZeroNoise(),
LOAD_ITERATIONS);
for (; loadGen.end(); loadGen++) {
// Test scenario: After 10 iterations create drop in
// IPC for executor num 3.
double_t ipcFor3Executor = (*loadGen)();
if (loadGen.iteration >= 11) {
ipcFor3Executor /= 2.0;
}
usage.mutable_executors(PR_4CPUS)->CopyFrom(
generateIPC(usage.executors(PR_4CPUS),
ipcFor3Executor,
(*loadGen).timestamp));
usage.mutable_executors(PR_2CPUS)->CopyFrom(
generateIPC(usage.executors(PR_2CPUS),
(*loadGen)(),
(*loadGen).timestamp));
// Third iteration (repeated).
corrections = pipeline->run(usage);
if (loadGen.iteration >= 15) {
EXPECT_SOME(corrections);
ASSERT_EQ(slave::QoSCorrection_Type_KILL,
corrections.get().front().type());
// Make sure that we do not kill PR tasks!
EXPECT_NE("serenityPR",
corrections.get().front().kill().executor_id().value());
EXPECT_NE("serenityPR2",
corrections.get().front().kill().executor_id().value());
} else {
EXPECT_SOME(corrections);
EXPECT_TRUE(corrections.get().empty());
}
}
delete pipeline;
}