mirror of
https://github.com/bspeice/itcs3146-project
synced 2024-11-14 12:08:35 -05:00
125 lines
4.5 KiB
Java
125 lines
4.5 KiB
Java
/*Memory Management Program
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* Used to test the algorithm and print out results.
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*/
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import java.io.File;
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import java.util.Random;
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import java.util.Scanner;
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import java.util.StringTokenizer;
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public class memoryManagement{
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static final int JOBAMOUNT = 200;
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static final int MEMORYSIZE = 100;
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public static void main(String args[])throws Exception{
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File file = new File("null");
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Scanner keyboard = new Scanner(System.in);
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Scanner fileScan;
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StringTokenizer token;
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Random rand = new Random();
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String read = null;
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int jobLength = 0;
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long timeStart, timeEnd;
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//*Job Info*
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int[] id = new int[JOBAMOUNT];
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int[] size = new int[JOBAMOUNT];
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int[] time = new int[JOBAMOUNT];
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//******Add your algorithm class here******//
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//baseAlgorithm alg = new dummyAlgorithm(MEMORYSIZE);
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threadedAllocation Bradlee_Speice = new threadedAllocation(MEMORYSIZE);
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//FirstFit David01 = new FirstFit();
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//NextFit David02 = new NextFit();
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BestFitAlgorithm David_Weber_BestFit = new BestFitAlgorithm(MEMORYSIZE);
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WorstFitAlgorithm David_Weber_WorstFit = new WorstFitAlgorithm(MEMORYSIZE);
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//Gets a file name, else creates five random jobs
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do{
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System.out.println("Type filename to load jobs from a file or just press enter for random jobs");
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read = keyboard.nextLine();
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file = new File(read + ".txt");
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if(!read.equals("") && !file.exists())
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System.out.println("File not found, try again");
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}while(!read.equals("") && !file.exists());
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//Create random jobs or read from the file and create jobs
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if(read.equals("")){
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System.out.print("Creating " + JOBAMOUNT + " random jobs...");
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jobLength = JOBAMOUNT;
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for(int i = 0; i < jobLength; i++){
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id[i] = i+1;
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size[i] = rand.nextInt(5)+1;
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time[i] = rand.nextInt(1000)+2001;
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}
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System.out.println("complete");
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}
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else{
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System.out.print("File found, reading file...");
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fileScan = new Scanner(file);
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for(jobLength = 0; fileScan.hasNextLine() ; jobLength++){
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token = new StringTokenizer(fileScan.nextLine(),",");
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id[jobLength] = jobLength+1;
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size[jobLength] = Integer.parseInt(token.nextToken());
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time[jobLength] = Integer.parseInt(token.nextToken());
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}
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fileScan.close();
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System.out.println("complete");
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System.out.println(jobLength+" jobs found on file");
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}
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//Send jobs to algorithm, time is calculated and printed out after completion
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System.out.print("Sending jobs to threaded allocation algorithm...");
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timeStart = System.currentTimeMillis();
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//Note that we use `jobLength - 1` to compensate for the id above
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for(int i = 0; i < jobLength - 1; i++){
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Bradlee_Speice.allocate(id[i], size[i], time[i]);
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//David01.allocate(id[i], size[i], time[i]);
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//David02.allocate(id[i], size[i], time[i]);
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}
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timeEnd = System.currentTimeMillis() - timeStart;
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System.out.println("complete");
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System.out.println("Elapsed time for threaded allocation algorithm to complete " + jobLength +
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" jobs is " + timeEnd + " milliseconds");
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//***Best Fit (David Weber)***
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timeStart = System.currentTimeMillis();
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for(int i = 0; i < jobLength - 1; i++){
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David_Weber_BestFit.allocate(id[i], size[i], time[i]);
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}
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timeEnd = System.currentTimeMillis() - timeStart;
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System.out.println("complete");
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System.out.println("Elapsed time for threaded best fit allocation algorithm to complete " + jobLength + " jobs is " + timeEnd + " milliseconds");
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/*
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//***Worst Fit (David Weber)***
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timeStart = System.currentTimeMillis();
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for(int i = 0; i < jobLength - 1; i++){
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//David_Weber_WorstFit.allocate(id[i], size[i], time[i]);
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}
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timeEnd = System.currentTimeMillis() - timeStart;
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System.out.println("complete");
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System.out.println("Elapsed time for threaded worst fit allocation algorithm to complete " + jobLength + " jobs is " + timeEnd + " milliseconds");
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*/
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//Put other algorithms here.
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System.out.println("Completed Successfully");
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//Forcibly close down all threads
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System.exit(0);
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}
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}
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