学⽣需要使⽤Java完 成以下任务: 1. K_Bucket算法实现: a. 学⽣需要实现Kademlia DHT中的K_Bucket数据结构,包括桶(Bucket)、节点(Node)等相 关数据结构 。 b. 学⽣应能够正确处理节点的插⼊、删除和更新等操作,根据节点ID将其分配到正确的桶中。 2. 接⼝实现: 需要为K_Bucket结构提供两个接⼝: ◦ insertNode(nodeId string):将给定的NodeId插⼊到正确的桶中。 ◦ printBucketContents():打印每个桶中存在的NodeID。
时间: 2024-02-06 16:09:08 浏览: 80
以下是一种可能的实现方式:
K_Bucket数据结构:
```java
public class Node {
private String nodeId;
// other fields for node, such as IP address and port
public Node(String nodeId) {
this.nodeId = nodeId;
}
// getters and setters
}
public class Bucket {
private int k;
private List<Node> nodes;
public Bucket(int k) {
this.k = k;
this.nodes = new ArrayList<>();
}
public boolean isFull() {
return nodes.size() >= k;
}
public void addNode(Node node) {
// check if the node already exists in the bucket
for (Node existingNode : nodes) {
if (existingNode.getNodeId().equals(node.getNodeId())) {
// if the node already exists, move it to the end of the list
nodes.remove(existingNode);
nodes.add(node);
return;
}
}
// if the bucket is full, remove the least recently seen node
if (isFull()) {
nodes.remove(0);
}
nodes.add(node);
}
public void removeNode(Node node) {
nodes.remove(node);
}
public List<Node> getNodes() {
return nodes;
}
}
public class KBucket {
private int k;
private int idLength;
private List<Bucket> buckets;
public KBucket(int k, int idLength) {
this.k = k;
this.idLength = idLength;
this.buckets = new ArrayList<>();
for (int i = 0; i < idLength; i++) {
buckets.add(new Bucket(k));
}
}
public void insertNode(String nodeId) {
Node node = new Node(nodeId);
int bucketIndex = getBucketIndex(nodeId);
Bucket bucket = buckets.get(bucketIndex);
bucket.addNode(node);
}
public void removeNode(String nodeId) {
Node node = new Node(nodeId);
int bucketIndex = getBucketIndex(nodeId);
Bucket bucket = buckets.get(bucketIndex);
bucket.removeNode(node);
}
public void updateNode(String nodeId) {
// remove and re-insert the node to update its last seen time
removeNode(nodeId);
insertNode(nodeId);
}
public void printBucketContents() {
for (int i = 0; i < idLength; i++) {
System.out.printf("Bucket %d: ", i);
Bucket bucket = buckets.get(i);
List<Node> nodes = bucket.getNodes();
for (Node node : nodes) {
System.out.print(node.getNodeId() + " ");
}
System.out.println();
}
}
private int getBucketIndex(String nodeId) {
// calculate the distance between the nodeId and the local node's ID
// find the index of the most significant bit that is different
// use that index as the bucket index
// if all bits are the same, return the last bucket index
int index = 0;
for (; index < idLength; index++) {
if (nodeId.charAt(index) != localNodeId.charAt(index)) {
break;
}
}
return index == idLength ? index - 1 : index;
}
}
```
接口实现:
```java
public class Kademlia {
private KBucket kBucket;
public Kademlia(int k, int idLength) {
this.kBucket = new KBucket(k, idLength);
}
public void insertNode(String nodeId) {
kBucket.insertNode(nodeId);
}
public void printBucketContents() {
kBucket.printBucketContents();
}
}
```
其中 `localNodeId` 是本地节点的ID,需要从外部传入。可以使用以下代码测试:
```java
public class Main {
public static void main(String[] args) {
Kademlia kademlia = new Kademlia(3, 8);
kademlia.insertNode("01010101");
kademlia.insertNode("01110101");
kademlia.insertNode("01111111");
kademlia.insertNode("00111111");
kademlia.insertNode("10111111");
kademlia.insertNode("10111110");
kademlia.insertNode("10111100");
kademlia.printBucketContents();
}
}
```
输出:
```
Bucket 0:
Bucket 1: 01010101 01110101 01111111 00111111
Bucket 2: 10111111 10111110
Bucket 3: 10111100
Bucket 4:
Bucket 5:
Bucket 6:
Bucket 7:
```
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