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Boavizta · Nov 4, 2024 · 8d501cb · 8d501cb
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diff --git a/Autoscaling/index.html b/Autoscaling/index.html
diff --git a/Changelog/index.html b/Changelog/index.html
diff --git a/Job/index.html b/Job/index.html
diff --git a/Network/index.html b/Network/index.html
@@ -1378,9 +1378,9 @@ <h2 id="backwards-links">Backwards links</h2>
 <h2 id="calculated-attributes">Calculated attributes</h2>
 <h3 id="energy_footprint">energy_footprint</h3>
 <p>hourly network energy footprint in kilogram.  </p>
-<p>Example value: 26281 values from 2024-12-31 23:00:00 to 2027-12-31 23:00:00 in kg:<br />
-    first 10 vals [0.01, 0.0, 0.02, 0.0, 0.02, 0.01, 0.0, 0.02, 0.03, 0.01],<br />
-    last 10 vals [0.01, 0.02, 0.03, 0.03, 0.0, 0.02, 0.0, 0.0, 0.03, 0.03]  </p>
+<p>Example value: 26299 values from 2024-12-31 23:00:00 to 2028-01-01 17:00:00 in kg:<br />
+    first 10 vals [0.02, 0.02, 0.03, 0.01, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02],<br />
+    last 10 vals [0.0, 0.02, 0.03, 0.03, 0.03, 0.01, 0.03, 0.01, 0.02, 0.01]  </p>
 <p>Depends directly on:  </p>
 <ul>
 <li><a href="../Job/#hourly_data_upload_per_usage_pattern">Hourly data upload for streaming in usage pattern</a></li>
@@ -1422,7 +1422,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_cf17ba {
+             #mynetwork_923e91 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -1444,7 +1444,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_cf17ba" class="card-body"></div>
+            <div id="mynetwork_923e91" class="card-body"></div>
         </div>
 
 
@@ -1474,12 +1474,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_cf17ba');
+                  var container = document.getElementById('mynetwork_923e91');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly network energy footprint", "label": "Hourly network\nenergy footprint", "shape": "dot", "size": 15, "title": "Hourly network energy footprint\n=\nusage pattern network energy consumption * Average carbon intensity of devices\ncountry\n=\n26281 values from 2024-12-31 23:00:00 to 2027-12-31 23:00:00 in kWh:\nfirst 10 vals [0.08, 0.04, 0.2, 0.04, 0.2, 0.16, 0.04, 0.2, 0.36, 0.08],\nlast 10 vals [0.12, 0.28, 0.32, 0.36, 0.04, 0.28, 0.04, 0.04, 0.36, 0.32] * 85.0\ngram / kilowatt_hour\n=\n26281 values from 2024-12-31 23:00:00 to 2027-12-31 23:00:00 in kg:\nfirst 10 vals [0.01, 0.0, 0.02, 0.0, 0.02, 0.01, 0.0, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.03, 0.03, 0.0, 0.02, 0.0, 0.0, 0.03, 0.03]", "x": 0.0, "y": 900}, {"color": null, "id": "usage pattern network energy consumption", "label": "usage pattern\nnetwork energy\nconsumption", "shape": "dot", "size": 15, "title": "usage pattern network energy consumption\n=\n(Hourly data upload for streaming in usage pattern + Hourly data download for\nstreaming in usage pattern) * bandwith energy intensity of network\n=\n(26281 values from 2024-12-31 23:00:00 to 2027-12-31 23:00:00 in MB:\nfirst 10 vals [0.1, 0.05, 0.25, 0.05, 0.25, 0.2, 0.05, 0.25, 0.45, 0.1],\nlast 10 vals [0.15, 0.35, 0.4, 0.45, 0.05, 0.35, 0.05, 0.05, 0.45, 0.4] + 26281\nvalues from 2024-12-31 23:00:00 to 2027-12-31 23:00:00 in MB:\nfirst 10 vals [1600.0, 800.0, 4000.0, 800.0, 4000.0, 3200.0, 800.0, 4000.0,\n7200.0, 1600.0],\nlast 10 vals [2400.0, 5600.0, 6400.0, 7200.0, 800.0, 5600.0, 800.0, 800.0,\n7200.0, 6400.0]) * 0.05 kilowatt_hour / gigabyte\n=\n26281 values from 2024-12-31 23:00:00 to 2027-12-31 23:00:00 in kWh:\nfirst 10 vals [0.08, 0.04, 0.2, 0.04, 0.2, 0.16, 0.04, 0.2, 0.36, 0.08],\nlast 10 vals [0.12, 0.28, 0.32, 0.36, 0.04, 0.28, 0.04, 0.04, 0.36, 0.32]", "x": -150.0, "y": 750}, {"color": null, "id": "Hourly data upload for streaming in usage pattern", "label": "Hourly data upload\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data upload for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data upload\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 23:00:00 to 2027-12-31 23:00:00 in\ndimensionless:\nfirst 10 vals [2, 1, 5, 1, 5, 4, 1, 5, 9, 2],\nlast 10 vals [3, 7, 8, 9, 1, 7, 1, 1, 9, 8])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 23:00:00 to 2027-12-31 23:00:00 in MB:\nfirst 10 vals [0.1, 0.05, 0.25, 0.05, 0.25, 0.2, 0.05, 0.25, 0.45, 0.1],\nlast 10 vals [0.15, 0.35, 0.4, 0.45, 0.05, 0.35, 0.05, 0.05, 0.45, 0.4]", "x": -200.0, "y": 600}, {"color": null, "id": "Hourly data download for streaming in usage pattern", "label": "Hourly data download\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data download for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data download\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 23:00:00 to 2027-12-31 23:00:00 in\ndimensionless:\nfirst 10 vals [2, 1, 5, 1, 5, 4, 1, 5, 9, 2],\nlast 10 vals [3, 7, 8, 9, 1, 7, 1, 1, 9, 8])) * 800.0 megabyte\n=\n26281 values from 2024-12-31 23:00:00 to 2027-12-31 23:00:00 in MB:\nfirst 10 vals [1600.0, 800.0, 4000.0, 800.0, 4000.0, 3200.0, 800.0, 4000.0,\n7200.0, 1600.0],\nlast 10 vals [2400.0, 5600.0, 6400.0, 7200.0, 800.0, 5600.0, 800.0, 800.0,\n7200.0, 6400.0]", "x": 0.0, "y": 600}, {"color": null, "id": "bandwith energy intensity of network", "label": "bandwith energy\nintensity of network", "shape": "dot", "size": 15, "title": "bandwith energy intensity of network = 0.05 kilowatt_hour / gigabyte", "x": 200.0, "y": 600}, {"color": null, "id": "Average carbon intensity of devices country", "label": "Average carbon\nintensity of devices\ncountry", "shape": "dot", "size": 15, "title": "Average carbon intensity of devices country = 85.0 gram / kilowatt_hour", "x": 150.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly network energy footprint", "label": "Hourly network\nenergy footprint", "shape": "dot", "size": 15, "title": "Hourly network energy footprint\n=\nusage pattern network energy consumption * Average carbon intensity of devices\ncountry\n=\n26299 values from 2024-12-31 23:00:00 to 2028-01-01 17:00:00 in kWh:\nfirst 10 vals [0.28, 0.28, 0.36, 0.12, 0.36, 0.08, 0.16, 0.24, 0.12, 0.28],\nlast 10 vals [0.04, 0.2, 0.32, 0.32, 0.32, 0.12, 0.32, 0.08, 0.24, 0.12] * 85.0\ngram / kilowatt_hour\n=\n26299 values from 2024-12-31 23:00:00 to 2028-01-01 17:00:00 in kg:\nfirst 10 vals [0.02, 0.02, 0.03, 0.01, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02],\nlast 10 vals [0.0, 0.02, 0.03, 0.03, 0.03, 0.01, 0.03, 0.01, 0.02, 0.01]", "x": 0.0, "y": 900}, {"color": null, "id": "usage pattern network energy consumption", "label": "usage pattern\nnetwork energy\nconsumption", "shape": "dot", "size": 15, "title": "usage pattern network energy consumption\n=\n(Hourly data upload for streaming in usage pattern + Hourly data download for\nstreaming in usage pattern) * bandwith energy intensity of network\n=\n(26299 values from 2024-12-31 23:00:00 to 2028-01-01 17:00:00 in MB:\nfirst 10 vals [0.35, 0.35, 0.45, 0.15, 0.45, 0.1, 0.2, 0.3, 0.15, 0.35],\nlast 10 vals [0.05, 0.25, 0.4, 0.4, 0.4, 0.15, 0.4, 0.1, 0.3, 0.15] + 26299\nvalues from 2024-12-31 23:00:00 to 2028-01-01 17:00:00 in MB:\nfirst 10 vals [5600.0, 5600.0, 7200.0, 2400.0, 7200.0, 1600.0, 3200.0, 4800.0,\n2400.0, 5600.0],\nlast 10 vals [800.0, 4000.0, 6400.0, 6400.0, 6400.0, 2400.0, 6400.0, 1600.0,\n4800.0, 2400.0]) * 0.05 kilowatt_hour / gigabyte\n=\n26299 values from 2024-12-31 23:00:00 to 2028-01-01 17:00:00 in kWh:\nfirst 10 vals [0.28, 0.28, 0.36, 0.12, 0.36, 0.08, 0.16, 0.24, 0.12, 0.28],\nlast 10 vals [0.04, 0.2, 0.32, 0.32, 0.32, 0.12, 0.32, 0.08, 0.24, 0.12]", "x": -150.0, "y": 750}, {"color": null, "id": "Hourly data upload for streaming in usage pattern", "label": "Hourly data upload\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data upload for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data upload\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26299 values from 2024-12-31 23:00:00 to 2028-01-01 17:00:00 in\ndimensionless:\nfirst 10 vals [7, 7, 9, 3, 9, 2, 4, 6, 3, 7],\nlast 10 vals [1, 5, 8, 8, 8, 3, 8, 2, 6, 3])) * 0.05 megabyte\n=\n26299 values from 2024-12-31 23:00:00 to 2028-01-01 17:00:00 in MB:\nfirst 10 vals [0.35, 0.35, 0.45, 0.15, 0.45, 0.1, 0.2, 0.3, 0.15, 0.35],\nlast 10 vals [0.05, 0.25, 0.4, 0.4, 0.4, 0.15, 0.4, 0.1, 0.3, 0.15]", "x": -200.0, "y": 600}, {"color": null, "id": "Hourly data download for streaming in usage pattern", "label": "Hourly data download\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data download for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data download\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26299 values from 2024-12-31 23:00:00 to 2028-01-01 17:00:00 in\ndimensionless:\nfirst 10 vals [7, 7, 9, 3, 9, 2, 4, 6, 3, 7],\nlast 10 vals [1, 5, 8, 8, 8, 3, 8, 2, 6, 3])) * 800.0 megabyte\n=\n26299 values from 2024-12-31 23:00:00 to 2028-01-01 17:00:00 in MB:\nfirst 10 vals [5600.0, 5600.0, 7200.0, 2400.0, 7200.0, 1600.0, 3200.0, 4800.0,\n2400.0, 5600.0],\nlast 10 vals [800.0, 4000.0, 6400.0, 6400.0, 6400.0, 2400.0, 6400.0, 1600.0,\n4800.0, 2400.0]", "x": 0.0, "y": 600}, {"color": null, "id": "bandwith energy intensity of network", "label": "bandwith energy\nintensity of network", "shape": "dot", "size": 15, "title": "bandwith energy intensity of network = 0.05 kilowatt_hour / gigabyte", "x": 200.0, "y": 600}, {"color": null, "id": "Average carbon intensity of devices country", "label": "Average carbon\nintensity of devices\ncountry", "shape": "dot", "size": 15, "title": "Average carbon intensity of devices country = 85.0 gram / kilowatt_hour", "x": 150.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "usage pattern network energy consumption", "to": "Hourly network energy footprint"}, {"arrows": "to", "from": "Hourly data upload for streaming in usage pattern", "to": "usage pattern network energy consumption"}, {"arrows": "to", "from": "Hourly data download for streaming in usage pattern", "to": "usage pattern network energy consumption"}, {"arrows": "to", "from": "bandwith energy intensity of network", "to": "usage pattern network energy consumption"}, {"arrows": "to", "from": "Average carbon intensity of devices country", "to": "Hourly network energy footprint"}]);
 
                   nodeColors = {};