...据缓存算法;数据访问频率 [gap=889]Key words: metropolitan vehicle network; data caching algorithm; data access frequency ...
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Describe their location, systems, access approaches, source data traffic and update frequency, data security, and data quality.
描述其位置、系统、访问方法、源数据流通和更新频率、数据安全性和数据质量。
The fastest-growing data is archive data, which is ideal for cloud storage given a number of factors, including cost, frequency of access, protection, and availability.
增长速度最快的数据是归档数据,鉴于很多因素它是云存储的理想之选,这些因素包括成本、访问频率、保护和可用性。
In general, you want to use caching to optimize only high volume, high frequency access of data.
总而言之,您需要使用缓存来优化数据的高容量和高访问频率。
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