用Java语言实现虚拟存储管理调页，包括最佳页面置换算法、先进先出页面调度算法，LRU、缺页统计，并测试实验结果

好的，我理解了你的问题。虚拟存储管理是操作系统中的一个重要概念，其中调页算法是解决内存不足时如何将数据从磁盘读入内存的问题。下面是Java语言实现虚拟存储管理调页的示例代码：

import java.util.*;

public class Paging {
    private int[] memory; // 内存
    private int[] pageTable; // 页面表
    private int[] referenceString; // 引用串
    private int pageFaults; // 缺页数
    private int pageSize; // 页面大小
    private int memorySize; // 内存大小
    private int pageTableSize; // 页面表大小

    public Paging(int[] referenceString, int memorySize, int pageSize, int pageTableSize) {
        this.referenceString = referenceString;
        this.memorySize = memorySize;
        this.pageSize = pageSize;
        this.pageTableSize = pageTableSize;
        this.memory = new int[memorySize / pageSize];
        this.pageTable = new int[pageTableSize];
        Arrays.fill(this.memory, -1);
        Arrays.fill(this.pageTable, -1);
    }

    // 最佳页面置换算法
    public void optimal() {
        for (int i = 0; i < referenceString.length; i++) {
            int page = referenceString[i] / pageSize;
            boolean inMemory = false;
            for (int j = 0; j < memory.length; j++) {
                if (memory[j] == page) {
                    inMemory = true;
                    break;
                }
            }
            if (!inMemory) {
                int[] nextUse = new int[memory.length];
                Arrays.fill(nextUse, Integer.MAX_VALUE);
                for (int j = 0; j < memory.length; j++) {
                    for (int k = i + 1; k < referenceString.length; k++) {
                        if (referenceString[k] / pageSize == memory[j]) {
                            nextUse[j] = k;
                            break;
                        }
                    }
                }
                int maxNextUse = Integer.MIN_VALUE;
                int maxNextUseIndex = -1;
                for (int j = 0; j < memory.length; j++) {
                    if (nextUse[j] > maxNextUse) {
                        maxNextUse = nextUse[j];
                        maxNextUseIndex = j;
                    }
                }
                memory[maxNextUseIndex] = page;
                pageTable[page] = maxNextUseIndex;
                pageFaults++;
            }
        }
    }

    // 先进先出页面调度算法
    public void fifo() {
        Queue<Integer> queue = new LinkedList<>();
        for (int i = 0; i < referenceString.length; i++) {
            int page = referenceString[i] / pageSize;
            boolean inMemory = false;
            for (int j = 0; j < memory.length; j++) {
                if (memory[j] == page) {
                    inMemory = true;
                    break;
                }
            }
            if (!inMemory) {
                int evictedPage = queue.poll();
                int evictedPageIndex = pageTable[evictedPage];
                memory[evictedPageIndex] = page;
                pageTable[page] = evictedPageIndex;
                queue.offer(page);
                pageFaults++;
            }
        }
    }

    // LRU页面调度算法
    public void lru() {
        LinkedList<Integer> list = new LinkedList<>();
        for (int i = 0; i < referenceString.length; i++) {
            int page = referenceString[i] / pageSize;
            boolean inMemory = false;
            for (int j = 0; j < memory.length; j++) {
                if (memory[j] == page) {
                    inMemory = true;
                    list.remove(new Integer(page));
                    list.add(page);
                    break;
                }
            }
            if (!inMemory) {
                int evictedPage = list.removeFirst();
                int evictedPageIndex = pageTable[evictedPage];
                memory[evictedPageIndex] = page;
                pageTable[page] = evictedPageIndex;
                list.add(page);
                pageFaults++;
            }
        }
    }

    // 缺页统计
    public int getPageFaults() {
        return pageFaults;
    }

    public static void main(String[] args) {
        int[] referenceString = {1, 2, 3, 4, 1, 2, 5, 1, 2, 3, 4, 5};
        int memorySize = 4 * 1024;
        int pageSize = 512;
        int pageTableSize = 8;
        Paging paging = new Paging(referenceString, memorySize, pageSize, pageTableSize);
        paging.optimal();
        System.out.println("Optimal: " + paging.getPageFaults());

        paging = new Paging(referenceString, memorySize, pageSize, pageTableSize);
        paging.fifo();
        System.out.println("FIFO: " + paging.getPageFaults());

        paging = new Paging(referenceString, memorySize, pageSize, pageTableSize);
        paging.lru();
        System.out.println("LRU: " + paging.getPageFaults());
    }
}

上面的代码实现了最佳页面置换算法、先进先出页面调度算法和LRU页面调度算法，并且提供了缺页统计。在`main`函数中提供了一个测试用例，你可以根据需要修改引用串、内存大小、页面大小和页面表大小。

希望这个示例代码能够对你有所帮助！