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Supplementary materials as part of the journal paper submitted to IEEE Transactions on Cloud Computing: Special Issue on Green and Energy-Efficient Cloud Computing. Here, we share additional details, graphs and animations related to the topic.
For any questions, contact the corresponding author Dražen Lučanin.
To illustrate the dynamic environment caused by geotemporal inputs, the following animation shows real-time electricity prices and temperatures change over the same geographic region during a period of 24 hours.
For all the details of the Philharmonic simulator visit the project page. There you will find the instructions for installing and using it. The version of the code released for the paper is accessible under the TCC tag.
The datasets of real-time electricity prices and temperatures that can be used in the simulation are described here.
The details of the migration model implemented in the evaluator are visualised in the following two graphs showing the downtime duration and the number of pre-copying rounds depending on different network speed (R) and memory dirtying rates (D).
The details of the linear regression model of the dependence of cloud energy costs on temperature variability shown in the evaluation can be seen in the following figure - the Q-Q plot shows a good fit.
