mirror of
https://github.com/bspeice/itcs3146-project
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Completed most of best/worst fit algorithms
Modified main class to run these algorithms Signed-off-by: David Weber <djw612@gmail.com>
This commit is contained in:
David Weber
parent
e6e1a8b634
commit
b599237482
@ -5,97 +5,89 @@
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*/
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import java.lang.reflect.Method;
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import java.util.ArrayList;
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import java.util.*;
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public class BestFitAlgorithm implements baseAlgorithm{
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int memoryBlock[];
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private Job[] jobArray = new Job[memoryManagement.JOBAMOUNT+10];
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ArrayList<Integer> candidates;
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List<Integer> indices;
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List<Integer> blocks;
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int memoryLocation;
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int bestSize; //The most suitable block size for the job
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int bestSizeIndex; //The most suitable block size starting index for the job
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public BestFitAlgorithm(int memorySize)
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{
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//Initialize memory block to whatever the size is
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memoryBlock = new int[memorySize];
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System.out.println("The size of the memory is: " + memoryBlock.length);
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blocks = new ArrayList<>(); //Dynamically resizable array list for allocation candidates (interleaved with index and memory size);
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indices = new ArrayList<>(); //Dynamically resizable array list for allocation candidates (interleaved with index and memory size);
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}
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public int getBestSizeIndex(int jobSize)
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public int getBestIndex(int jobSize)
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{
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int bestSize; //The most suitable block size for the job
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int bestSizeIndex; //The most suitable block size starting index for the job
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memoryLocation = 0;
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System.out.println("The size of the job is: " + jobSize);
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indices.clear();
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blocks.clear();
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candidates = new ArrayList<Integer>(); //Dynamically resizable array list for allocation candidates (interleaved with index and memory size)
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int counter = 0; //Counter for measuring unallocated memory
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//Scan through memory block and get free blocks. Add candidates for allocation to array list
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for(int i = 0; i < memoryBlock.length; i++)
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while (memoryLocation < this.memoryBlock.length)
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{
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//If position in memory block here is 0, iterate from that index and count up sequential 0's (free space)
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if(memoryBlock[i] == 0)
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{
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for(int j = i; j < memoryBlock.length - i; j++)
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{
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if(memoryBlock[j] == 0)
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{
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counter++;
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}
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}
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if(counter == jobSize)
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{
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candidates.add(i); //Store index
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candidates.add(counter); //Store size of free memory chunk
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}
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else if(counter >= jobSize)
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{
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candidates.add(i); //Store index
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candidates.add(counter); //Store size of free memory chunk
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}
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//System.out.println("The size of the counter is: " + counter);
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counter = 0;
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}
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}
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for(int i = 0; i < candidates.size(); i++)
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{
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System.out.println("Candidate index: " + candidates.get(i));
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System.out.println("Candidate size: " + candidates.get(i+1));
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if (memoryBlock[memoryLocation] != 0){
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memoryLocation++;
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continue;
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}
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//Iterate through candidate sizes
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bestSizeIndex = candidates.get(0).intValue(); //Initialize best index to first spot in array list
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int beginningLoc = memoryLocation;
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int free = 0;
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bestSize = candidates.get(1).intValue(); //Initialize bestSize to first space size in candidate
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//Iterate through sizes and find the best fit
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for(int i = 1; i < candidates.size(); i=i+2)
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while (memoryLocation < this.memoryBlock.length && memoryBlock[memoryLocation] == 0)
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{
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//Best possible case: job size = free block size (you're done)
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if(candidates.get(i).intValue() == jobSize)
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{
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bestSizeIndex = i - 1;
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System.out.println("The best size index is: " + bestSizeIndex);
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return bestSizeIndex; //You're done. Return the value.
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}
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//If the current size is less than the previous best size, make this the new best size
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else if(candidates.get(i).intValue() < bestSize)
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{
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bestSize = candidates.get(i+1).intValue();
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bestSizeIndex = i - 1;
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System.out.println("The best size index is: " + bestSizeIndex);
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}
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}
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System.out.println("The best size is: " + bestSize);
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//No candidates
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if(candidates.isEmpty())
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{
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System.out.println("No best size index");
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return -1;
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memoryLocation++;
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free++;
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}
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return bestSizeIndex;
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if (free >= jobSize){
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//System.out.println("Found a block of size " + free + " at " + beginningLoc);
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blocks.add(free);
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indices.add(beginningLoc);
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}
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}
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//System.out.println("Size of indices array: " + indices.size());
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//System.out.println("Size of sizes array: " + blocks.size());
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for(int i = 0; i < blocks.size(); i++)
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{
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//System.out.println("Index: " + indices.get(i));
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//System.out.println("Size: " + blocks.get(i));
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}
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int bestIndex = -1;
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int bSize = blocks.get(0).intValue();
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//GET BEST INDEX
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for(int i = 0; i < blocks.size(); i++)
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{
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//BEST CASE
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if(blocks.get(i).intValue() == jobSize)
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{
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//Best possible fit. You're done.
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//System.out.println("Best Case");
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bestIndex = indices.get(i).intValue();
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}
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else if((blocks.get(i).intValue() <= bSize && blocks.get(i).intValue() >= jobSize) || blocks.get(i).intValue() > -1)
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{
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bestIndex = indices.get(i).intValue();
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}
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}
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//System.out.println("bestIndex: " + bestIndex);
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//System.out.println("bSize: " + bSize);
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return bestIndex;
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}
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@Override
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@ -105,63 +97,91 @@ public class BestFitAlgorithm implements baseAlgorithm{
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{
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Method deallocateMethod = this.getClass().getMethod("deallocate", new Class[]{int.class, int.class});
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//checks to see if the job will fit in memory
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if(jobSize>memoryBlock.length)
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bestSizeIndex = this.getBestIndex(jobSize);
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if(jobSize > memoryBlock.length)
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{
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System.out.println("This job is too large");
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System.exit(0);
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//System.out.println("Job is too large for current memory size");
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}
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int bestSizeIndex = getBestSizeIndex(jobSize);
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//No candidates found
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if(bestSizeIndex == -1)
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{
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System.out.println("No candidates found...attempting to compact");
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//Try compacting, then attempt to get an index again
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compact();
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bestSizeIndex = getBestSizeIndex(jobSize);
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//Compacting still didn't produce an appropriate block
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if(bestSizeIndex == -1)
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{
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//TODO .....
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}
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//Compact and try again
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//System.out.println("Compacting memory...");
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this.compact();
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bestSizeIndex = this.getBestIndex(jobSize);
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}
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else
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{
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//Allocate the memory
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for(int i = bestSizeIndex; i < jobSize; i++)
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//System.out.println("The size of the job is: " + jobSize);
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//System.out.println("The best size index is: " + bestSizeIndex);
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synchronized(memoryBlock)
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{
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memoryBlock[i] = jobID;
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}
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System.out.println("Successfully allocated!");
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for(int i = 0; i < memoryBlock.length; i++)
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for(int i = bestSizeIndex; i < jobSize + bestSizeIndex; i++)
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{
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System.out.println("Job at position " + i + "in memoryblock: " + memoryBlock[i]);
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//System.out.println("Writing jobID: " + jobID + " to position " + i + " in memory block!");
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this.memoryBlock[i] = jobID;
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}
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}
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}
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//System.out.println("Successfully allocated! Starting job...");
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Job newJob = new Job(jobSize, jobID, jobSize, bestSizeIndex, deallocateMethod, this);
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jobArray[jobID] = newJob;
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newJob.start();
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//System.out.println("Job started!");
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}
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}
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catch (Exception e)
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{
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System.out.println("Could not allocate job with ID " + jobID);
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//System.out.println("Could not allocate job with ID " + jobID);
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}
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}
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/*
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* This method gathers all occupied memory and stores it contiguously in an array list of blocks.
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* After that, it rewrites the memoryBlock array by writing the memory in contiguous order, and then
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* filling in the rest of the memory with 0's
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*/
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public void compact()
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{
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//TODO: Compact memory if no suitable allocation candidates are found on the first pass
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List<Integer> takenBlocks = new ArrayList<>();
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memoryLocation = 0;
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//Gather allocated memory
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while(memoryLocation < this.memoryBlock.length && memoryBlock[memoryLocation] != 0)
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{
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takenBlocks.add(memoryBlock[memoryLocation]);
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memoryLocation++;
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}
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for(int i = 0; i < takenBlocks.size(); i++)
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{
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this.memoryBlock[i] = takenBlocks.get(i).intValue();
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}
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for(int i = takenBlocks.size(); i < this.memoryBlock.length; i++)
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{
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this.memoryBlock[i] = 0;
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}
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/*System.out.println("Successfully compacted!");
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if(takenBlocks.isEmpty())
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{
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System.out.println("Cannot compact!");
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}
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*/
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}
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@Override
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public void deallocate(int jobSize, int beginningLocation)
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{
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for(int i = beginningLocation; i < jobSize; i++)
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for(int i = beginningLocation; i < jobSize + beginningLocation; i++)
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{
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memoryBlock[i] = 0;
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}
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@ -1,111 +1,188 @@
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/*
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* Worst Fit Algorithm by David Weber
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* Best Fit Algorithm by David Weber
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* ITCS 3146
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* 11/9/2012
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*/
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import java.util.ArrayList;
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import java.lang.reflect.Method;
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import java.util.*;
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public class WorstFitAlgorithm implements baseAlgorithm{
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int memoryBlock[];
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private Job[] jobArray = new Job[memoryManagement.JOBAMOUNT+10];
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List<Integer> indices;
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List<Integer> blocks;
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int memoryLocation;
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int worstSize; //The most suitable block size for the job
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int worstSizeIndex; //The most suitable block size starting index for the job
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public WorstFitAlgorithm(int memorySize)
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{
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//Initialize memory block to whatever the size is
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memoryBlock = new int[memorySize];
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blocks = new ArrayList<>(); //Dynamically resizable array list for allocation candidates (interleaved with index and memory size);
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indices = new ArrayList<>(); //Dynamically resizable array list for allocation candidates (interleaved with index and memory size);
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}
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public int getWorstSizeIndex(int jobSize)
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public int getWorstIndex(int jobSize)
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{
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int worstSize = 0;
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int worstSizeIndex = 0;
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memoryLocation = 0;
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ArrayList<Integer> candidates = new ArrayList<Integer>(); //Dynamically resizable array list for allocation candidates (interleaved with index and memory size)
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indices.clear();
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blocks.clear();
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int counter = 0; //Counter for measuring unallocated memory
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//Scan through memory block and get free blocks
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for(int i = 0; i < memoryBlock.length; i++)
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while (memoryLocation < this.memoryBlock.length)
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{
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//If position in memory block here is 0, iterate from that index and count up sequential 0's
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if(memoryBlock[i] == 0)
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{
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for(int j = i; j < memoryBlock.length - i; j++)
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{
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if(memoryBlock[j] == 0)
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{
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counter++;
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if (memoryBlock[memoryLocation] != 0){
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memoryLocation++;
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continue;
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}
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}
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if(counter >= jobSize)
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int beginningLoc = memoryLocation;
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int free = 0;
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while (memoryLocation < this.memoryBlock.length && memoryBlock[memoryLocation] == 0)
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{
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candidates.add(i); //Store index
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candidates.add(counter); //Store size of free memory chunk
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memoryLocation++;
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free++;
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}
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counter = 0;
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if (free >= jobSize){
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//System.out.println("Found a block of size " + free + " at " + beginningLoc);
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blocks.add(free);
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indices.add(beginningLoc);
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}
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}
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//Iterate through candidate sizes
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worstSizeIndex = 0; //Initialize best index to first spot in array list
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//System.out.println("Size of indices array: " + indices.size());
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//System.out.println("Size of sizes array: " + blocks.size());
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worstSize = candidates.get(1).intValue(); //Initialize bestSize to first space size in candidate
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for(int i = 0; i < blocks.size(); i++)
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{
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//System.out.println("Index: " + indices.get(i));
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//System.out.println("Size: " + blocks.get(i));
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}
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//Iterate through sizes and find the best fit
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for(int i = 1; i < candidates.size(); i=i+2)
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int worstIndex = -1;
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int wSize = blocks.get(0).intValue();
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//GET WORST INDEX
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for(int i = 0; i < blocks.size(); i++)
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{
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//If the current size is greater than the previous best size, make this the new best size
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if(candidates.get(i).intValue() > worstSize)
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//Get largest possible free block to allocate to
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if((blocks.get(i).intValue() >= wSize && blocks.get(i).intValue() >= jobSize) || blocks.get(i).intValue() > -1)
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{
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worstSize = candidates.get(i+1).intValue();
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worstSizeIndex = i - 1;
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worstIndex = indices.get(i).intValue();
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}
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//"Worst fit"....same size as job size
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else if(blocks.get(i).intValue() == jobSize)
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{
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//"Worst" possible fit. You're done.
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//System.out.println("Worst Case");
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worstIndex = indices.get(i).intValue();
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}
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}
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//If the best size is less than the job size, run this again
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if(candidates.isEmpty())
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{
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return -1;
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}
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//System.out.println("bestIndex: " + bestIndex);
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//System.out.println("bSize: " + bSize);
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return worstSizeIndex;
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return worstIndex;
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}
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@Override
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public void allocate(int jobID, int jobSize, int jobTime)
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{
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int worstSizeIndex = getWorstSizeIndex(jobSize);
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if(worstSizeIndex == -1) //No candidates found
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try
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{
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//Try compacting, then attempt to get an index again
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compact();
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worstSizeIndex = getWorstSizeIndex(jobSize);
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Method deallocateMethod = this.getClass().getMethod("deallocate", new Class[]{int.class, int.class});
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worstSizeIndex = this.getWorstIndex(jobSize);
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if(jobSize > memoryBlock.length)
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{
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//System.out.println("Job is too large for current memory size");
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}
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//Compacting still didn't produce an appropriate block
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if(worstSizeIndex == -1)
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{
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//TODO .....
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//Compact and try again
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//System.out.println("Compacting memory...");
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this.compact();
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worstSizeIndex = this.getWorstIndex(jobSize);
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}
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}
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//Allocate the memory
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for(int i = worstSizeIndex; i < jobSize; i++)
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else
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{
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memoryBlock[i] = jobID;
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//System.out.println("The size of the job is: " + jobSize);
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//System.out.println("The best size index is: " + bestSizeIndex);
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synchronized(memoryBlock)
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{
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for(int i = worstSizeIndex; i < jobSize + worstSizeIndex; i++)
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{
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//System.out.println("Writing jobID: " + jobID + " to position " + i + " in memory block!");
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this.memoryBlock[i] = jobID;
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}
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}
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//System.out.println("Successfully allocated! Starting job...");
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Job newJob = new Job(jobSize, jobID, jobSize, worstSizeIndex, deallocateMethod, this);
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jobArray[jobID] = newJob;
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newJob.start();
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//System.out.println("Job started!");
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}
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}
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catch (Exception e)
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{
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//System.out.println("Could not allocate job with ID " + jobID);
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}
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}
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/*
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* This method gathers all occupied memory and stores it contiguously in an array list of blocks.
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* After that, it rewrites the memoryBlock array by writing the memory in contiguous order, and then
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* filling in the rest of the memory with 0's
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*/
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public void compact()
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{
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//TODO: Compact memory if no suitable allocation candidates are found on the first pass
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List<Integer> takenBlocks = new ArrayList<>();
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memoryLocation = 0;
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//Gather allocated memory
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while(memoryLocation < this.memoryBlock.length && memoryBlock[memoryLocation] != 0)
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{
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takenBlocks.add(memoryBlock[memoryLocation]);
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memoryLocation++;
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}
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|
||||
for(int i = 0; i < takenBlocks.size(); i++)
|
||||
{
|
||||
this.memoryBlock[i] = takenBlocks.get(i).intValue();
|
||||
}
|
||||
|
||||
for(int i = takenBlocks.size(); i < this.memoryBlock.length; i++)
|
||||
{
|
||||
this.memoryBlock[i] = 0;
|
||||
}
|
||||
|
||||
/*
|
||||
System.out.println("Successfully compacted!");
|
||||
|
||||
if(takenBlocks.isEmpty())
|
||||
{
|
||||
System.out.println("Cannot compact!");
|
||||
}
|
||||
*/
|
||||
}
|
||||
|
||||
@Override
|
||||
public void deallocate(int jobSize, int beginningLocation)
|
||||
{
|
||||
for(int i = beginningLocation; i < jobSize; i++)
|
||||
for(int i = beginningLocation; i < jobSize + beginningLocation; i++)
|
||||
{
|
||||
memoryBlock[i] = 0;
|
||||
}
|
||||
|
||||
@ -88,35 +88,26 @@ public class memoryManagement{
|
||||
System.out.println("Elapsed time for threaded allocation algorithm to complete " + jobLength +
|
||||
" jobs is " + timeEnd + " milliseconds");
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
//***Best Fit (David Weber)***
|
||||
timeStart = System.currentTimeMillis();
|
||||
for(int i = 0; i < jobLength - 1; i++){
|
||||
David_Weber_BestFit.allocate(id[i], size[i], time[i]);
|
||||
}
|
||||
|
||||
timeEnd = System.currentTimeMillis() - timeStart;
|
||||
System.out.println("complete");
|
||||
System.out.println("Elapsed time for threaded best fit allocation algorithm to complete " + jobLength + " jobs is " + timeEnd + " milliseconds");
|
||||
System.out.println("Elapsed time for best fit allocation algorithm to complete " + jobLength + " jobs is " + timeEnd + " milliseconds");
|
||||
|
||||
|
||||
|
||||
/*
|
||||
//***Worst Fit (David Weber)***
|
||||
timeStart = System.currentTimeMillis();
|
||||
for(int i = 0; i < jobLength - 1; i++){
|
||||
//David_Weber_WorstFit.allocate(id[i], size[i], time[i]);
|
||||
David_Weber_WorstFit.allocate(id[i], size[i], time[i]);
|
||||
}
|
||||
|
||||
timeEnd = System.currentTimeMillis() - timeStart;
|
||||
System.out.println("complete");
|
||||
System.out.println("Elapsed time for threaded worst fit allocation algorithm to complete " + jobLength + " jobs is " + timeEnd + " milliseconds");
|
||||
*/
|
||||
System.out.println("Elapsed time for worst fit allocation algorithm to complete " + jobLength + " jobs is " + timeEnd + " milliseconds");
|
||||
|
||||
//Put other algorithms here.
|
||||
|
||||
|
||||
System.out.println("Completed Successfully");
|
||||
//Forcibly close down all threads
|
||||
System.exit(0);
|
||||
|
||||
Loading…
Reference in New Issue
Block a user