+ info on new models for dow and msft exmpls

Green-Software-Foundation · Sep 9, 2023 · d246ff0 · d246ff0
1 parent f3f2e3e
commit d246ff0
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Showing 2 changed files with 56 additions and 34 deletions.
diff --git a/impls/dow_msft.yaml b/impls/dow_msft.yaml
@@ -10,7 +10,7 @@ initialize:
       kind: builtin
       verbose: false
       path: ''
-    - name: e-mem # a model that calculates e for memory utilization (0.38 * mem_util)
+    - name: e-mem # a model that calculates e for memory utilization (0.38 * mem_util = e_mem in kwH)
       kind: builtin  
       path: ''
     - name: sci-e # sums e components (can be e_cpu, e_gpu, e_mem, e_network) - in this case e-mem and e_cpu from teads
@@ -44,15 +44,15 @@ graph:
     children: 
       tiger-database: # a leaf component
         config:
-          teads-cpu:
+          teads-cpu: # use tdp to derive e-cpu (kwh)
             processor: Intel-xeon-platinum-8380
             tdp: 270
-          e-mem:
-            mem_allocation: 32 # GB
-            mem-energy: 0.38 # kwh/GB
+          e-mem: # mem-util * mem-allocation * mem-energy = e-mem (kwh)
+            mem-allocation: 32 # GB
+            mem-energy: 0.38 # wh/GB
           sci-m:
             te: 1533.12 # kgCO2eq
-            tir: 3600 # get this value from the duration field
+            tir: 3600 # s per hour
             el: 94608000 # 3 years in seconds        
             rr: 1
             tor: 8
@@ -64,15 +64,15 @@ graph:
         observations: 
           series:
             timestamp: 2023-07-06T00:00
-            cpu_util: 17.12
-            ram: 19.375 # % of available
+            cpu-util: 17.12
+            mem-util: 19.375 # % of available
       tiger-api: # a leaf component
         config:
           teads-cpu:
             processor: Intel-xeon-platinum-8270
             tdp: 205
           e-mem:
-            mem_allocation: 1.75 # GB
+            mem-allocation: 1.75 # GB
             mem-energy: 0.38 # kwh/GB
           sci-m:
             te: 1216.62 # kgCO2eq
@@ -89,15 +89,15 @@ graph:
           series:      
             timestamp: 2023-08-06T00:00
             duration: 1
-            cpu_util: 25
-            memory_util: 70 # % of total
+            cpu-util: 25
+            mem-util: 70 # % of total
       neo4j-database: # a leaf component
         config:
           teads-cpu:
             processor: Intel-xeon-platinum-8270
             tdp: 270
           e-mem:
-            mem_allocation: 32 # GB
+            mem-allocation: 32 # GB
             mem-energy: 0.38 # kwh/GB
           sci-m:
             te: 1216.62 # kgCO2eq
@@ -114,15 +114,15 @@ graph:
           series:
             timestamp: 2023-07-06T00:00
             duration: 1 # this data is using span, but the model expects duration
-            cpu_util: 28.05
-            memory_util: 19.375
+            cpu-util: 28.05
+            mem-util: 19.375
       neo4j-api: # a leaf component
         config:
           teads-cpu:
             processor: Intel-xeon-platinum-8270
             tdp: 205
           e-mem:
-            mem_allocation: 1.75 # GB
+            mem-allocation: 1.75 # GB
             mem-energy: 0.38 # kwh/GB
           sci-m:
             te: 1216.62 # kgCO2eq
@@ -139,6 +139,6 @@ graph:
           series:      
             timestamp: 2023-08-06T00:00
             duration: 1
-            cpu_util: 14
-            memory_util: 65 
+            cpu-util: 14
+            mem-util: 65 
 
diff --git a/impls/msft-eshoppen.yaml b/impls/msft-eshoppen.yaml
@@ -6,49 +6,67 @@ tags:
   category: cloud
 initialize:
   models:
+    - name: teads-cpu
+      kind: builtin
+      path: ''
+      verbose: false
+    - name: e-mem-tdp # calculates e due to memory util ((mem-util * mem-allocated * mem-energy)/1000 = e-mem)
+      kind: builtin
+      path: false
+      verbose: false
+    - name: sci-e # sums e-cpu and e-mem
+      kind: builtin
+      path: ''
+      verbose: false  
     - name: sci-m # a model that calculates m from te, tir, el, rr and rtor
       kind: builtin  
       path: ''
-    - name: sci-c # a model that given e, i and m calculates a carbon value (e * i) + m
+      verbose: false
+    - name: sci-o # takes in total e and outputs operational emissions
       kind: builtin      
       path: ''       
-    - name: teads-cpu # a model that returns energy based on the generalised teads power curve and tdp
-      kind: builtin
-      path: ''
     - name: sci # sums SCI components and converts to f.unit
       kind: builtin
       path: ''
 graph:
   front-end:
     pipeline: 
       - teads-cpu # tdp & cpu -> energy
+      - e-mem-tdp # n-hour * n-chip * tdp-mem * tdp-coeff
       - sci-m # duration & config -> embodied
-      - sci-c # energy & grid-carbon-intensity & embodied -> carbon
-      - sci #
+      - sci-e # energy & grid-carbon-intensity & embodied -> carbon
+      - sci-o # e -> c
+      - sci # -> f.unit
     config:
+      e-mem-tdp:
+        n-hour: 1
+        n-chip: 1
+        tdp-mem: 12.16
+        tdp-coeff: 0.12
       sci-m:
         te: 350 # kgCO2eq
         tir: "duration" # get this value from the duration field
         el: 126144000 # 4 years in seconds        
         rr: 1
         tor: 1
-      sci-c:
+      sci-o:
         i: 951 # gCO2e/kWh
-      teads-curve:
+      teads-cpu:
         processor: Intel® Core™ i7-1185G7
         tdp: 28 # W
+        tdp-coeff: 0.12
       sci:
         time: hour # signal to convert /s -> /hr
         factor: 500 # factor to convert per time to per f.unit ()
     observations:
       - timestamp: 2023-07-06T00:00 # [KEYWORD] [NO-SUBFIELDS] time when measurement occurred
         duration: 3600 # Secs
-        cpu_util: 18.392
+        cpu-util: 0
   app-server:
-    pipeline: 
+    pipeline: # note: no e-mem calc applied here 
       - teads-cpu # tdp & cpu -> energy
       - sci-m # duration & config -> embodied
-      - sci-c # energy & grid-carbon-intensity & embodied -> carbon  
+      - sci-o # energy & grid-carbon-intensity & embodied -> carbon  
     config:
       sci-m:
         te: 1205.52 # kgCO2eq
@@ -58,21 +76,24 @@ graph:
         tor: 26 # the original report has a typo, says 16 but actually has 26 cores.
       sci-c:
         i: 951 # gCO2e/kWh
-      teads-curve:
+      teads-cpu:
         processor: Intel® Xeon® Platinum 8272CL
         tdp: 205
+        tdp-coeff: 0.32
+        n-hour: 1
+        n-chip: 1
       sci:
         time: hour # signal to convert /s -> /hr
         factor: 500 # factor to convert per time to per f.unit ()
     observations:
       - timestamp: 2023-07-06T00:00 # [KEYWORD] [NO-SUBFIELDS] time when measurement occurred
         duration: 3600
-        cpu_util: 18.392
+        cpu-util: 18.392
   db-server:
-    pipeline: 
+    pipeline: # no e-mem calc applied here
       - teads-cpu # tdp & cpu & duration-> energy
       - sci-m # duration & config -> embodied
-      - sci-c # energy & grid-carbon-intensity & embodied -> carbon  
+      - sci-o # energy & grid-carbon-intensity & embodied -> carbon  
     config:
       sci-m:
         te: 1433.12 # kgCO2eq
@@ -82,14 +103,15 @@ graph:
         tor: 24 # total cores  
       sci-c:
         i: 951
-      teads-curve:
+      teads-cpu:
         processor:  Intel® Xeon® Platinum 8160
         tdp: 150 # W
+        tdp-coeff: 0.32
       sci:
         time: hour # signal to convert /s -> /hr
         factor: 500 # factor to convert per time to per f.unit ()
     observations:
       - timestamp: 2023-07-06T00:00 # [KEYWORD] [NO-SUBFIELDS] time when measurement occurred
         duration: 3600
-        cpu_util: 10
+        cpu-util: 10