为提高DHT网络在抖动条件下的性能,该文研究Kademlia协议及其路由表自适应调节机制,提出一种 k 桶容积参数 K 值的自适应调节算法,根据路由数据的可用概率判断网络的抖动状况,通过调节 K 值来实现路由表的规模对抖动强度的自适应.仿真实验结果表明,该算法能有效缩短抖动情况下的查询延迟,将网络的崩溃点提高了近10%,使网络在抖动强度波动时仍能保持较高性能.%To improve performance of distribute Hash table (DHT) networks under churn, we study an adaptive mechanism of the routing table for Kademlia protocol. Based on a quantitative analysis, we propose an algorithm for the K value to adjust the routing table size to adapt to the churn rate. The churn rate is estimated from the available data in the routing table. Simulations show that the proposed algorithm can significantly reduce lookup latency under churn and raise the network's crash point by nearly 10%. Even when the churn rate fluctuates severely, the network still has a satisfactory performance.
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