JobsRunning.ipynb

{
 "metadata": {
  "name": "",
  "signature": "sha256:66283d216f5cbbcf045a8232ca145f1026b701308cce65598cc6bc7bc1cf5b2a"
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 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Find the number of jobs running"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We must simulate the starting and stopping of a job.  Lets assume that:\n",
      "\n",
      "1. The stage-in time for a job is 2 minutes.\n",
      "1. The stage-out time for a job is instant.\n",
      "1. The processing time for a job is 5 hours (300 minutes)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%matplotlib inline\n",
      "import matplotlib.pyplot as plt\n",
      "import numpy as np"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "runningjobs = [] # the array of running jobs\n",
      "numrunning = []\n",
      "timestamp = 0"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "stagein = 2\n",
      "processingtime = 300\n",
      "stageout = 0"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "nextstart = timestamp + stagein"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "for i in range(0, 1000):\n",
      "    if timestamp == nextstart:\n",
      "        runningjobs.append(timestamp+300)\n",
      "        nextstart = timestamp + stagein\n",
      "        \n",
      "    if len(runningjobs) > 0 and runningjobs[0] <= timestamp:\n",
      "        runningjobs.pop(0)\n",
      "        \n",
      "    numrunning.append(len(runningjobs))\n",
      "    timestamp += 1"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.plot(numrunning)\n",
      "plt.ylabel(\"Running Jobs\")\n",
      "plt.xlabel(\"Time (m)\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 6,
       "text": [
        "<matplotlib.text.Text at 0x108420090>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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9Li8BG6SvfwsMaZR6AL4A7AXMKChry3dv7mV6HNg3Pb4HOHht966VlkZRD/7V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\nM7Oi/X/8lcg9b/RI5gAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x1083f6cd0>"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "As you can see from the plot above, the number of running jobs never reaches above 150."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 6
    }
   ],
   "metadata": {}
  }
 ]
}