虚拟数据集将根据合并运算符合并来自子数据集的结果。
The results are aggregated by the virtual cube according to the merge operator.
当对某个虚拟数据集执行查询时，查询将被发送到子数据集，子数据集将生成两个中间结果，这两个结果又将根据虚拟数据集的合并运算符进行合并。
When a query is issued against a virtual cube, that query is routed to the depending cubes, which produces two intermediary results that are aggregated according to the virtual cube's merge operator.
合并运算符包括SUM、MINUS、PRODUCT、DIVIDE、MAX、MIN和NOP(从虚拟数据集定义的第一个数据集返回数据)。
Merge operators are SUM, MINUS, PRODUCT, DIVIDE, MAX, MIN, and NOP (returns data from the first cube in the virtual cube definition).
使用相同维度的查询将同时在每个子数据集中执行，得到的结果根据虚拟数据集的合并运算符进行合并。
A query that USES the common dimensions is executed in parallel for each of the composing cubes, and the results are aggregated according to the virtual cube merge operator.
虚拟数据集将这两个测度重命名为SaleTotal，并且使用加法合并运算符将历史数据集和最近数据集合并起来。
The virtual cube renames both these measures to Sale Total, and it aggregates the historic and recent cubes using the addition merge operator.
文章指出，为了制取这张虚拟的离散数据表，需要有△增量调制器和延时存储器的设置以及卷积运算的功能。
The paper points out that in order to make the dummy discrete data sheet, it is necessary to setup increment modulator and delay memory, along with the function of convolution.
摘要 ：由于虚拟环境的复杂性和动态性，使用传统方法证明其安全状态时会出现运算效率低下的情况；
Abstract : Due to the complexity and dynamic behavior in virtual environment, the efficiency is low when adopting traditional methods to prove the secure state of virtual machines.
文中提出了一种虚拟服务模型，在此基础上定义了虚拟服务的组合运算，给出了服务动态查找的算法。
This paper proposes a virtual service model, defines a virtual service composition calculus and gives a service dynamic selection algorithm.
工作站集群系统的建立，形成了一个虚拟的大型并行机，形成了强大的计算能力，满足了大运算量的要求。
A workstation group system forms a virtual large scale parallel computer with strong calculating capacity, thus capable of huge amount calculations.
虚拟机运算只需8秒。
虚拟机运算只需8秒。
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