【摘要】：Redis是一個(gè)key-value存儲(chǔ)系統(tǒng),通過對Redis高速緩存系統(tǒng)的序列化算法優(yōu)化,可提高緩存讀取的效率和存儲(chǔ)容量。引入現(xiàn)代統(tǒng)計(jì)學(xué)中Bootstrap理論,提出基于隨機(jī)相位高斯偽隨機(jī)數(shù)重排的Redis高速緩存系統(tǒng)中的序列化算法。采用Hash堆棧技術(shù)將存儲(chǔ)數(shù)據(jù)寫入磁盤,通過霍夫曼編碼技術(shù)對信宿處緩存數(shù)據(jù)進(jìn)行序列化編碼設(shè)計(jì),利用隨機(jī)相位高斯偽隨機(jī)數(shù)重排方法重新排列緩存堆棧的編碼序列,改善Redis的結(jié)構(gòu)分布形式,提高緩存系統(tǒng)的容量。測試結(jié)果表明,該方法存儲(chǔ)容量較高,緩存數(shù)據(jù)的讀取效率高于傳統(tǒng)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.
【作者單位】： 桂林理工大學(xué)現(xiàn)代教育技術(shù)中心;
【分類號(hào)】：TP333

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