Fix and extend jobclass rules

configs/tagger/jobclasses/highMemoryUsage.json

@@ -0,0 +1,25 @@
+{
+  "name": "High memory usage",
+  "tag": "highmemory",
+  "parameters": [
+    "highmemoryusage_threshold_factor",
+    "job_min_duration_seconds"
+  ],
+  "metrics": ["mem_used"],
+  "requirements": [
+    "job.shared == \"none\"",
+    "job.duration > job_min_duration_seconds"
+  ],
+  "variables": [
+    {
+      "name": "memory_threshold",
+      "expr": "mem_used.limits.peak * highmemoryusage_threshold_factor"
+    },
+    {
+      "name": "memory_usage_pct",
+      "expr": "mem_used.max / mem_used.limits.peak * 100.0"
+    }
+  ],
+  "rule": "mem_used.max > memory_threshold",
+  "hint": "This job used high memory: peak memory usage {{.mem_used.max}} GB ({{.memory_usage_pct}}% of {{.mem_used.limits.peak}} GB node capacity), exceeding the {{.highmemoryusage_threshold_factor}} utilization threshold. Risk of out-of-memory conditions."
+}

configs/tagger/jobclasses/highload.json

@@ -3,8 +3,7 @@
   "tag": "excessiveload",
   "parameters": [
     "excessivecpuload_threshold_factor",
-    "job_min_duration_seconds",
-    "sampling_interval_seconds"
+    "job_min_duration_seconds"
   ],
   "metrics": ["cpu_load"],
   "requirements": [
@@ -15,12 +14,8 @@
     {
       "name": "load_threshold",
       "expr": "cpu_load.limits.peak * excessivecpuload_threshold_factor"
-    },
-    {
-      "name": "load_perc",
-      "expr": "1.0 - (cpu_load.avg / cpu_load.limits.peak)"
     }
   ],
   "rule": "cpu_load.avg > load_threshold",
-  "hint": "This job was detected as excessiveload because the average cpu load {{.cpu_load.avg}} falls above the threshold {{.load_threshold}}."
+  "hint": "This job was detected as having excessive CPU load: average cpu load {{.cpu_load.avg}} exceeds the oversubscription threshold {{.load_threshold}} ({{.excessivecpuload_threshold_factor}} \u00d7 {{.cpu_load.limits.peak}} peak cores), indicating CPU contention."
 }

configs/tagger/jobclasses/lowUtilization.json

@@ -1,5 +1,5 @@
 {
-  "name": "Low ressource utilization",
+  "name": "Low resource utilization",
   "tag": "lowutilization",
   "parameters": ["job_min_duration_seconds"],
   "metrics": ["flops_any", "mem_bw"],
@@ -9,14 +9,14 @@
   ],
   "variables": [
     {
-      "name": "mem_bw_perc",
-      "expr": "1.0 - (mem_bw.avg / mem_bw.limits.peak)"
+      "name": "mem_bw_pct",
+      "expr": "mem_bw.avg / mem_bw.limits.peak * 100.0"
     },
     {
-      "name": "flops_any_perc",
-      "expr": "1.0 - (flops_any.avg / flops_any.limits.peak)"
+      "name": "flops_any_pct",
+      "expr": "flops_any.avg / flops_any.limits.peak * 100.0"
     }
   ],
   "rule": "flops_any.avg < flops_any.limits.alert && mem_bw.avg < mem_bw.limits.alert",
-  "hint": "This job was detected as low utilization because the average flop rate {{.flops_any.avg}} falls below the threshold {{.flops_any.limits.alert}}."
+  "hint": "This job shows low resource utilization: FLOP rate {{.flops_any.avg}} GF/s ({{.flops_any_pct}}% of peak) and memory bandwidth {{.mem_bw.avg}} GB/s ({{.mem_bw_pct}}% of peak) are both below their alert thresholds."
 }

configs/tagger/jobclasses/lowload.json

@@ -3,8 +3,7 @@
   "tag": "lowload",
   "parameters": [
     "lowcpuload_threshold_factor",
-    "job_min_duration_seconds",
-    "sampling_interval_seconds"
+    "job_min_duration_seconds"
   ],
   "metrics": ["cpu_load"],
   "requirements": [
@@ -15,12 +14,8 @@
     {
       "name": "load_threshold",
       "expr": "job.numCores * lowcpuload_threshold_factor"
-    },
-    {
-      "name": "load_perc",
-      "expr": "1.0 - (cpu_load.avg / cpu_load.limits.peak)"
     }
   ],
-  "rule": "cpu_load.avg < cpu_load.limits.caution",
-  "hint": "This job was detected as lowload because the average cpu load {{.cpu_load}} falls below the threshold {{.cpu_load.limits.caution}}."
+  "rule": "cpu_load.avg < load_threshold",
+  "hint": "This job was detected as low CPU load: average cpu load {{.cpu_load.avg}} is below the threshold {{.load_threshold}} ({{.lowcpuload_threshold_factor}} \u00d7 {{.job.numCores}} allocated cores)."
 }

configs/tagger/jobclasses/memoryBound.json

@@ -0,0 +1,22 @@
+{
+  "name": "Memory bandwidth bound",
+  "tag": "memorybound",
+  "parameters": ["membound_bw_threshold_factor", "job_min_duration_seconds"],
+  "metrics": ["mem_bw"],
+  "requirements": [
+    "job.shared == \"none\"",
+    "job.duration > job_min_duration_seconds"
+  ],
+  "variables": [
+    {
+      "name": "mem_bw_threshold",
+      "expr": "mem_bw.limits.peak * membound_bw_threshold_factor"
+    },
+    {
+      "name": "mem_bw_pct",
+      "expr": "mem_bw.avg / mem_bw.limits.peak * 100.0"
+    }
+  ],
+  "rule": "mem_bw.avg > mem_bw_threshold",
+  "hint": "This job is memory bandwidth bound: memory bandwidth {{.mem_bw.avg}} GB/s ({{.mem_bw_pct}}% of peak) is within {{.membound_bw_threshold_factor}} of peak bandwidth. Consider improving data reuse or compute intensity."
+}

configs/tagger/jobclasses/parameters.json

@@ -1,11 +1,12 @@
 {
-  "lowcpuload_threshold_factor": 0.9,
-  "excessivecpuload_threshold_factor": 1.1,
+  "lowcpuload_threshold_factor": 0.85,
+  "excessivecpuload_threshold_factor": 1.2,
   "highmemoryusage_threshold_factor": 0.9,
   "node_load_imbalance_threshold_factor": 0.1,
   "core_load_imbalance_threshold_factor": 0.1,
   "high_memory_load_threshold_factor": 0.9,
   "lowgpuload_threshold_factor": 0.7,
+  "membound_bw_threshold_factor": 0.8,
   "memory_leak_slope_threshold": 0.1,
   "job_min_duration_seconds": 600.0,
   "sampling_interval_seconds": 30.0,