The major design goal of Slice was to encapsulate the storage environment such that the application code remains exactly the same as in a typical single database usage.
Slice的主要设计目标是封装存储环境，以便于应用程序代码能够与在典型的单数据库中使用的代码保持一致。
An OpenJPA-based application currently using a single database can be reconfigured with Slice for a storage environment where data is partitioned across many databases.
一个使用单个数据库的基于OpenJPA的应用程序可以由Slice针对数据跨多个数据库分区存储的存储环境进行重新配置。
A slice represents a contiguous segment of an array, allowing a programmer to refer to specific sections of the underlying storage.
一个切片(slice)表示一个数组内的连续分段，支持程序员指定底层存储的明确部分。
With the ability to slice data along with cauchy Reed-Solomon correction codes, the slices can then be distributed to geographically disparate sites for storage.
有了为数据切片的能力以及 cauchyReed-Solomon 纠错码，就可以将切片分发到地理上分散的站点进行存储。
Depending upon the solution, this location can be at the host filter driver level or at a disk slice within a storage array.
根据解决方案的不同，此位置可能在主机筛选器驱动程序级别上，也可能在存储阵列中的某个磁盘切片上。
Based on the functions of Roll Up, Drill Down, Slice and Dice, this paper designs and implements the Backward function on the cache of data storage and access, making the system more efficient.
在系统已有的上卷、下挖、切片、切块等功能基础上，提出基于缓存的数据存储和访问机制，设计并实现了回退功能，提高了OLAP查询效率。
Based on the functions of Roll Up, Drill Down, Slice and Dice, this paper designs and implements the Backward function on the cache of data storage and access, making the system more efficient.
在系统已有的上卷、下挖、切片、切块等功能基础上，提出基于缓存的数据存储和访问机制，设计并实现了回退功能，提高了OLAP查询效率。
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