fixes #1 CPU scoping of CPU power calculation in Grafana (#81)

* fixes #1 CPU scoping of CPU power calculation in Grafana

* Update description and screenshot.

Author: brunnert

README.md

@@ -69,7 +69,7 @@ This application will run until you stop it and generate data. While it is gener
 
     http://localhost:3000/grafana/dashboards
 
-After some time you can see the data produced by this application in the following dashboard. As an example the CPU and memory demands are shown as they are supported on most plattforms as well as the Emission Calculation Factors. Furthermore, we have integrated a [Software Carbon Intensity](https://sci.greensoftware.foundation/) calculation for each transaction based on this data. This calculation is based on our work presented at the [Workshop on Challenges in Performance Methods for Software Development (WOSP-C) 2024](https://www.retit.de/wp-content/uploads/2024/05/Green_Software_Metrics.pdf) and [EcoCompute](https://www.retit.de/wp-content/uploads/2024/04/2024-04-25_How_to_Measure_CO2-Emissions_For_Every_API_Call_Of_Your_Microservices.pdf) with the main difference that we are now using the [Cloud Carbon coefficients](https://github.com/cloud-carbon-footprint/ccf-coefficients) instead of an external datasource for the emission data. 
+After some time you can see the data produced by this application in the following dashboard. As an example the CPU and memory demands are shown as they are supported on most plattforms as well as the Emission Calculation Factors. Furthermore, we have integrated a [Software Carbon Intensity](https://sci.greensoftware.foundation/) calculation for each transaction based on this data. This calculation is based on our work presented at the [Workshop on Challenges in Performance Methods for Software Development (WOSP-C) 2024](https://www.retit.de/wp-content/uploads/2024/05/Green_Software_Metrics.pdf) and [EcoCompute](https://www.retit.de/wp-content/uploads/2024/04/2024-04-25_How_to_Measure_CO2-Emissions_For_Every_API_Call_Of_Your_Microservices.pdf) with the main difference that we are now using the [Cloud Carbon coefficients](https://github.com/cloud-carbon-footprint/ccf-coefficients) instead of an external datasource for the emission data. The current state of the calculation using the CCF data has been presented at the [Symposium on Software Performance 2024](https://fb-swt.gi.de/fileadmin/FB/SWT/Softwaretechnik-Trends/Verzeichnis/Band_44_Heft_4/SSP24_16_camera-ready_5255.pdf).
 
 ![dashboard.png](img/dashboard.png)
 

docker/grafana/provisioning/dashboards/dashboard.json

@@ -244,7 +244,18 @@
             "type": "__expr__",
             "uid": "__expr__"
           },
-          "expression": "($Pcpu* 60000) / 1000",
+          "expression": "$Pcpu * $CPUutilT",
+          "hide": true,
+          "refId": "Ptcpu",
+          "type": "math"
+        },
+        {
+          "datasource": {
+            "name": "Expression",
+            "type": "__expr__",
+            "uid": "__expr__"
+          },
+          "expression": "($Ptcpu * 60000) / 1000",
           "hide": true,
           "refId": "Ecpu",
           "type": "math"
@@ -460,7 +471,7 @@
         "x": 12,
         "y": 0
       },
-      "id": 7,
+      "id": 8,
       "options": {
         "legend": {
           "calcs": [],
@@ -616,7 +627,18 @@
             "type": "__expr__",
             "uid": "__expr__"
           },
-          "expression": "($Pcpu* 60000) / 1000",
+          "expression": "$Pcpu * $CPUutilT",
+          "hide": true,
+          "refId": "Ptcpu",
+          "type": "math"
+        },
+        {
+          "datasource": {
+            "name": "Expression",
+            "type": "__expr__",
+            "uid": "__expr__"
+          },
+          "expression": "($Ptcpu* 60000) / 1000",
           "hide": true,
           "refId": "Ecpu",
           "type": "math"