diff options
Diffstat (limited to 'opendc-experiments/opendc-experiments-scenario')
3 files changed, 325 insertions, 2 deletions
diff --git a/opendc-experiments/opendc-experiments-scenario/src/main/Python_scripts/multimodel-retry.ipynb b/opendc-experiments/opendc-experiments-scenario/src/main/Python_scripts/multimodel-retry.ipynb new file mode 100644 index 00000000..02d91831 --- /dev/null +++ b/opendc-experiments/opendc-experiments-scenario/src/main/Python_scripts/multimodel-retry.ipynb @@ -0,0 +1,40 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "initial_id", + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import os" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/opendc-experiments/opendc-experiments-scenario/src/main/Python_scripts/multimodel.ipynb b/opendc-experiments/opendc-experiments-scenario/src/main/Python_scripts/multimodel.ipynb new file mode 100644 index 00000000..4d7b86e3 --- /dev/null +++ b/opendc-experiments/opendc-experiments-scenario/src/main/Python_scripts/multimodel.ipynb @@ -0,0 +1,281 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# OpenDC MultiModel Demo" + ], + "metadata": { + "collapsed": false + }, + "id": "fb60c8069ab28634" + }, + { + "cell_type": "markdown", + "source": [ + "> this file assembles multiple simulation models into a single simulation tool -- <b>the multimodel</b>\n", + "> we leverage the outputs of the simulation models, in the same plot\n", + "> and more :>" + ], + "metadata": { + "collapsed": false + }, + "id": "6db427bbc013a04f" + }, + { + "cell_type": "markdown", + "source": [ + "### 0. Imports" + ], + "metadata": { + "collapsed": false + }, + "id": "613ddc7764c074d2" + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import os\n", + "import pyarrow.parquet as pq\n", + "import fastparquet as fp" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-04-19T10:30:32.973554Z", + "start_time": "2024-04-19T10:30:31.719379Z" + } + }, + "id": "bfbf3ccebf48cde4", + "execution_count": 1 + }, + { + "cell_type": "markdown", + "source": [ + "### 1. Load the outputs of the simulation models" + ], + "metadata": { + "collapsed": false + }, + "id": "46656be1992088cc" + }, + { + "cell_type": "code", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "We are now in: /Users/raz/atlarge/opendc/demo/output/simulation-results\n", + "['scenario-simple-model-linearPowerModel-200.0-350.0-scheduler-Mem-topology-topologies-topology-very-single.json-19e6b2a5', 'scenario-simple-model-linearPowerModel-200.0-350.0-scheduler-Mem-topology-topologies-topology-very-single.json-8589863e', 'scenario-simple-model-sqrtPowerModel-200.0-350.0-scheduler-Mem-topology-topologies-topology-single.json-da112dce', 'scenario-simple-model-linearPowerModel-200.0-350.0-scheduler-Mem-topology-topologies-topology-very-single.json-34bf5727', 'scenario-simple-model-linearPowerModel-200.0-350.0-scheduler-Mem-topology-topologies-topology-very-single.json-aae0172e', 'scenario-simple-model-linearPowerModel-200.0-350.0-scheduler-Mem-topology-topologies-topology-very-single.json-a93605da', 'scenario-simple-model-sqrtPowerModel-200.0-350.0-scheduler-Mem-topology-topologies-topology-single.json-b9b34193', 'scenario-simple-model-sqrtPowerModel-200.0-350.0-scheduler-Mem-topology-topologies-topology-single.json-01208bd2', 'scenario-simple-model-linearPowerModel-200.0-350.0-scheduler-Mem-topology-topologies-topology-very-single.json-82898d7d', 'scenario-simple-model-sqrtPowerModel-200.0-350.0-scheduler-Mem-topology-topologies-topology-single.json-f5ae7b9d', 'scenario-simple-model-sqrtPowerModel-200.0-350.0-scheduler-Mem-topology-topologies-topology-single.json-3ccd8e37', 'scenario-simple-model-sqrtPowerModel-200.0-350.0-scheduler-Mem-topology-topologies-topology-single.json-0835f003', 'scenario-simple-model-sqrtPowerModel-200.0-350.0-scheduler-Mem-topology-topologies-topology-single.json-02b41c5b', 'scenario-simple-model-sqrtPowerModel-200.0-350.0-scheduler-Mem-topology-topologies-topology-single.json-abff34a7', 'scenario-simple-model-linearPowerModel-200.0-350.0-scheduler-Mem-topology-topologies-topology-very-single.json-3a3fa887', 'scenario-simple-model-linearPowerModel-200.0-350.0-scheduler-Mem-topology-topologies-topology-very-single.json-f47c3a90']\n" + ] + } + ], + "source": [ + "os.chdir('../../../../../demo/output/simulation-results')\n", + "print(\"We are now in: \", os.getcwd())\n", + "\n", + "# loop through the files, take only the first word of the file name, which is in format modelname-*\n", + "model_names = [file.split('-')[0] for file in os.listdir()]\n", + "directories = [d for d in os.listdir() if os.path.isdir(d)]\n", + "\n", + "# output data is a list of lists -- there are multiple arrays, and each array has data for host, server, service, in this order\n", + "# basically we will have\n", + "host_data = []\n", + "server_data = []\n", + "service_data = []\n", + "\n", + "print(directories)\n", + "\n", + "# loop through each directory and add the data to the list\n", + "for directory in directories:\n", + " host_data.append(pd.read_parquet(os.path.join(directory, 'host.parquet')))\n", + " server_data.append(pd.read_parquet(os.path.join(directory, 'server.parquet')))\n", + " service_data.append(pd.read_parquet(os.path.join(directory, 'service.parquet')))" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-04-19T10:30:34.027701Z", + "start_time": "2024-04-19T10:30:32.974958Z" + } + }, + "id": "df9bb28b2ca1ced1", + "execution_count": 2 + }, + { + "cell_type": "markdown", + "source": [ + "### 2. Define useful functions" + ], + "metadata": { + "collapsed": false + }, + "id": "434a191b3b902e14" + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "def mean_of_chunks(series, chunk_size):\n", + " return series.groupby(np.arange(len(series)) // chunk_size).mean(numeric_only=True)" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-04-19T10:30:34.030345Z", + "start_time": "2024-04-19T10:30:34.028390Z" + } + }, + "id": "5d832e6bbd09c8ac", + "execution_count": 3 + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "def plot_singular_model(single_model):\n", + " plt.figure(figsize=(20,10))\n", + " plt.plot(single_model)\n", + " plt.show()" + ], + "metadata": { + "collapsed": false + }, + "id": "6b1e2a5c7c656307", + "execution_count": 4 + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "def plot_multi_model(multi_model):\n", + " plt.figure(figsize=(20,10))\n", + " for model in multi_model:\n", + " plt.ylabel(\"POwer draw [W]\")\n", + " plt.xlabel(\"Seconds [S]\")\n", + " \n", + " # make the y-label between 0-500\n", + " plt.ylim(0, 500)\n", + " \n", + " # add some shadows up and down as a standard deviation\n", + " plt.fill_between(model.index, model - 10, model + 10, color='gray', alpha=0.5)\n", + " \n", + " plt.ylim(0, 500)\n", + " plt.plot(model)\n", + " plt.show()" + ], + "metadata": { + "collapsed": false + }, + "id": "295c7f5fd087324d", + "execution_count": 5 + }, + { + "cell_type": "code", + "outputs": [ + { + "data": { + "text/plain": "<Figure size 2000x1000 with 1 Axes>", + "image/png": "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" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "True\n" + ] + } + ], + "source": [ + "### 3. Plot the outputs of the simulation models\n", + "simulation_data = [\n", + " mean_of_chunks(host_data[0]['power_draw'], 1000),\n", + " mean_of_chunks(host_data[1]['power_draw'], 1000),\n", + " mean_of_chunks(host_data[2]['power_draw'], 1000),\n", + " mean_of_chunks(host_data[3]['power_draw'], 1000),\n", + "]\n", + "\n", + "plot_multi_model(simulation_data)\n", + "areEqual = host_data[0].equals(host_data[3])\n", + "print(areEqual)" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-04-19T10:30:34.200347Z", + "start_time": "2024-04-19T10:30:34.036843Z" + } + }, + "id": "d46afc205586d40a", + "execution_count": 6 + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "host_data[0]" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-04-18T18:46:28.085976Z", + "start_time": "2024-04-18T18:46:28.085921Z" + } + }, + "id": "258b4dc49154822a", + "execution_count": null + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "# print host_data as a table\n", + "service_data[0]\n" + ], + "metadata": { + "collapsed": false + }, + "id": "7f7dcf086ce45547", + "execution_count": null + }, + { + "cell_type": "code", + "outputs": [], + "source": [], + "metadata": { + "collapsed": false + }, + "id": "540df677d458c972", + "execution_count": null + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/opendc-experiments/opendc-experiments-scenario/src/main/kotlin/org/opendc/experiments/scenario/ScenarioCli.kt b/opendc-experiments/opendc-experiments-scenario/src/main/kotlin/org/opendc/experiments/scenario/ScenarioCli.kt index 16d2915c..bd05824b 100644 --- a/opendc-experiments/opendc-experiments-scenario/src/main/kotlin/org/opendc/experiments/scenario/ScenarioCli.kt +++ b/opendc-experiments/opendc-experiments-scenario/src/main/kotlin/org/opendc/experiments/scenario/ScenarioCli.kt @@ -58,7 +58,9 @@ internal class ScenarioCommand : CliktCommand(name = "scenario") { .default(Runtime.getRuntime().availableProcessors() - 1) override fun run() { - val scenario = getScenario(scenarioPath) - runScenario(scenario, parallelism) + // TODO: clean the simulation-results folder? + val scenarios = getScenario(scenarioPath) + runScenario(scenarios, parallelism) + // TODO: implement outputResults(scenario) // this will take the results, from a folder, and output them visually } } |