分布式网络内置缓存优化技术研究

Research on Built-in Cache Optimization for Distributed Networks

以分布式网络内置缓存优化为研究目的,提出热节点缓存优化策略,使用基于数据频率缓存算法提高缓存利用效率。通过实验分析得到的结果是基于数据频率缓存算法缓存内容平均值相比最不经常使用页置换算法和页面置换算法更接近理论值,网络缓存接收率更高,平均数据请求延时和缓存数据置换率较低。由此得出结论基于数据频率缓存优化算法在分布式网络内置缓存优化中具有较好的应用价值。

In order to optimize the built-in cache in distributed network,a hot node cache optimization strategy is proposed.It uses data frequency-based cache algorithm to improve the efficiency of cache utilization.The experimental results show that the average value of cached content based on data frequency caching algorithm is closer to the theoretical value than the least frequently used page replacement algorithm and page replacement algorithm.The network cache receives a higher rate,and the average data request delay and cached data replacement rate are lower.It is concluded that the data frequency cache optimization algorithm has good application value in distributed network built-in cache optimization.