Redis在高速缓存系统中的序列化算法研究
发布时间:2018-11-25 14:43
【摘要】:Redis是一个key-value存储系统,通过对Redis高速缓存系统的序列化算法优化,可提高缓存读取的效率和存储容量。引入现代统计学中Bootstrap理论,提出基于随机相位高斯伪随机数重排的Redis高速缓存系统中的序列化算法。采用Hash堆栈技术将存储数据写入磁盘,通过霍夫曼编码技术对信宿处缓存数据进行序列化编码设计,利用随机相位高斯伪随机数重排方法重新排列缓存堆栈的编码序列,改善Redis的结构分布形式,提高缓存系统的容量。测试结果表明,该方法存储容量较高,缓存数据的读取效率高于传统方法。
[Abstract]:Redis is a key-value storage system. By optimizing the serialization algorithm of Redis cache system, the efficiency and storage capacity of cache reading can be improved. By introducing Bootstrap theory in modern statistics, a serialization algorithm for Redis cache system based on random phase Gao Si pseudorandom number rearrangement is proposed. Hash stack technique is used to write the stored data to disk, and Huffman coding technology is used to serialize and encode the cache data. The random phase Gao Si pseudorandom number rearrangement method is used to rearrange the encoding sequence of the cache stack. The structure distribution of Redis is improved and the capacity of cache system is increased. The test results show that this method has a high storage capacity and the efficiency of cache data reading is higher than that of the traditional method.
【作者单位】: 桂林理工大学现代教育技术中心;
【分类号】:TP333
本文编号:2356477
[Abstract]:Redis is a key-value storage system. By optimizing the serialization algorithm of Redis cache system, the efficiency and storage capacity of cache reading can be improved. By introducing Bootstrap theory in modern statistics, a serialization algorithm for Redis cache system based on random phase Gao Si pseudorandom number rearrangement is proposed. Hash stack technique is used to write the stored data to disk, and Huffman coding technology is used to serialize and encode the cache data. The random phase Gao Si pseudorandom number rearrangement method is used to rearrange the encoding sequence of the cache stack. The structure distribution of Redis is improved and the capacity of cache system is increased. The test results show that this method has a high storage capacity and the efficiency of cache data reading is higher than that of the traditional method.
【作者单位】: 桂林理工大学现代教育技术中心;
【分类号】:TP333
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