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fix: fix footprint logic, do not scale thresholds on multi node jobs

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This commit is contained in:
Christoph Kluge 2024-12-04 13:56:00 +01:00
parent b0c0d15505
commit ab07c7928f
2 changed files with 78 additions and 38 deletions
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58
web/frontend/src/generic/helper/JobFootprint.svelte
View File

@ -23,26 +23,46 @@
alert: metricConfig.alert
};
// Job_Exclusivity does not matter, only aggregation
if (metricConfig.aggregation === "avg") {
return defaultThresholds;
} else if (metricConfig.aggregation === "sum") {
/*
NEW: Footprints should be comparable: Always use Unchanged Single Node Thresholds, except for shared jobs.
HW Clocks, HW Temperatures and File/Net IO Thresholds will be scaled down too, even if they are independent.
'jf.stats' is one of: avg, min, max -> Always relative to one nodes' thresholds as configured.
*/
if (job.exclusive === 1) {
return defaultThresholds
} else {
const topol = getContext("getHardwareTopology")(job.cluster, job.subCluster)
const jobFraction = job.numHWThreads / topol.node.length;
return {
peak: round(defaultThresholds.peak * jobFraction, 0),
normal: round(defaultThresholds.normal * jobFraction, 0),
caution: round(defaultThresholds.caution * jobFraction, 0),
alert: round(defaultThresholds.alert * jobFraction, 0),
};
} else {
console.warn(
"Missing or unkown aggregation mode (sum/avg) for metric:",
metricConfig,
);
return defaultThresholds;
}
/* OLD: Based on Metric Aggregation Setting
// Job_Exclusivity does not matter, only aggregation
if (metricConfig.aggregation === "avg") {
return defaultThresholds;
} else if (metricConfig.aggregation === "sum") {
const topol = getContext("getHardwareTopology")(job.cluster, job.subCluster)
const jobFraction = job.numHWThreads / topol.node.length;
return {
peak: round(defaultThresholds.peak * jobFraction, 0),
normal: round(defaultThresholds.normal * jobFraction, 0),
caution: round(defaultThresholds.caution * jobFraction, 0),
alert: round(defaultThresholds.alert * jobFraction, 0),
};
} else {
console.warn(
"Missing or unkown aggregation mode (sum/avg) for metric:",
metricConfig,
);
return defaultThresholds;
}
*/
}
</script>
@ -136,25 +156,25 @@
return a.impact - b.impact || ((a.name > b.name) ? 1 : ((b.name > a.name) ? -1 : 0));
});;
function evalFootprint(mean, thresholds, lowerIsBetter, level) {
function evalFootprint(value, thresholds, lowerIsBetter, level) {
// Handle Metrics in which less value is better
switch (level) {
case "peak":
if (lowerIsBetter)
return false; // metric over peak -> return false to trigger impact -1
else return mean <= thresholds.peak && mean > thresholds.normal;
else return value <= thresholds.peak && value > thresholds.normal;
case "alert":
if (lowerIsBetter)
return mean <= thresholds.peak && mean >= thresholds.alert;
else return mean <= thresholds.alert && mean >= 0;
return value <= thresholds.peak && value >= thresholds.alert;
else return value <= thresholds.alert && value >= 0;
case "caution":
if (lowerIsBetter)
return mean < thresholds.alert && mean >= thresholds.caution;
else return mean <= thresholds.caution && mean > thresholds.alert;
return value < thresholds.alert && value >= thresholds.caution;
else return value <= thresholds.caution && value > thresholds.alert;
case "normal":
if (lowerIsBetter)
return mean < thresholds.caution && mean >= 0;
else return mean <= thresholds.normal && mean > thresholds.caution;
return value < thresholds.caution && value >= 0;
else return value <= thresholds.normal && value > thresholds.caution;
default:
return false;
}

58
web/frontend/src/job/JobSummary.svelte
View File

@ -23,26 +23,46 @@
alert: metricConfig.alert
};
// Job_Exclusivity does not matter, only aggregation
if (metricConfig.aggregation === "avg") {
return defaultThresholds;
} else if (metricConfig.aggregation === "sum") {
/*
NEW: Footprints should be comparable: Always use Unchanged Single Node Thresholds, except for shared jobs.
HW Clocks, HW Temperatures and File/Net IO Thresholds will be scaled down too, even if they are independent.
'jf.stats' is one of: avg, min, max -> Always relative to one nodes' thresholds as configured.
*/
if (job.exclusive === 1) {
return defaultThresholds
} else {
const topol = getContext("getHardwareTopology")(job.cluster, job.subCluster)
const jobFraction = job.numHWThreads / topol.node.length;
return {
peak: round(defaultThresholds.peak * jobFraction, 0),
normal: round(defaultThresholds.normal * jobFraction, 0),
caution: round(defaultThresholds.caution * jobFraction, 0),
alert: round(defaultThresholds.alert * jobFraction, 0),
};
} else {
console.warn(
"Missing or unkown aggregation mode (sum/avg) for metric:",
metricConfig,
);
return defaultThresholds;
}
/* OLD: Based on Metric Aggregation Setting
// Job_Exclusivity does not matter, only aggregation
if (metricConfig.aggregation === "avg") {
return defaultThresholds;
} else if (metricConfig.aggregation === "sum") {
const topol = getContext("getHardwareTopology")(job.cluster, job.subCluster)
const jobFraction = job.numHWThreads / topol.node.length;
return {
peak: round(defaultThresholds.peak * jobFraction, 0),
normal: round(defaultThresholds.normal * jobFraction, 0),
caution: round(defaultThresholds.caution * jobFraction, 0),
alert: round(defaultThresholds.alert * jobFraction, 0),
};
} else {
console.warn(
"Missing or unkown aggregation mode (sum/avg) for metric:",
metricConfig,
);
return defaultThresholds;
}
*/
}
</script>
@ -142,25 +162,25 @@
return a.impact - b.impact || ((a.name > b.name) ? 1 : ((b.name > a.name) ? -1 : 0));
});;
function evalFootprint(mean, thresholds, lowerIsBetter, level) {
function evalFootprint(value, thresholds, lowerIsBetter, level) {
// Handle Metrics in which less value is better
switch (level) {
case "peak":
if (lowerIsBetter)
return false; // metric over peak -> return false to trigger impact -1
else return mean <= thresholds.peak && mean > thresholds.normal;
else return value <= thresholds.peak && value > thresholds.normal;
case "alert":
if (lowerIsBetter)
return mean <= thresholds.peak && mean >= thresholds.alert;
else return mean <= thresholds.alert && mean >= 0;
return value <= thresholds.peak && value >= thresholds.alert;
else return value <= thresholds.alert && value >= 0;
case "caution":
if (lowerIsBetter)
return mean < thresholds.alert && mean >= thresholds.caution;
else return mean <= thresholds.caution && mean > thresholds.alert;
return value < thresholds.alert && value >= thresholds.caution;
else return value <= thresholds.caution && value > thresholds.alert;
case "normal":
if (lowerIsBetter)
return mean < thresholds.caution && mean >= 0;
else return mean <= thresholds.normal && mean > thresholds.caution;
return value < thresholds.caution && value >= 0;
else return value <= thresholds.normal && value > thresholds.caution;
default:
return false;
}