If it’s a straight line, that’s quite good: “linear scalability”.
如果它是一条直线，那就是非常好的“线性伸缩性”。
Linear scalability is achieved by adding new partitions as data volumes grow.
随着数据量增加，可以添加新的分区，这会实现线性可伸缩性。
This container is then duplicated on other machines in the grid, providing linear scalability.
该容器被复制到网格中的其他机器上，实现线性扩展。
This can seem counter-intuitive when the problem is perceived as one of simple linear scalability.
当将该问题视为一个简单的线性扩展时，这似乎是有违直观的。
While infinite horizontal linear scalability is difficult to achieve, infinite vertical scalability is impossible.
虽然无限的水平线性可扩展性是难以实现的，无限的垂直扩展性也是不可能的。
As data volumes grow, distributing the contents of a database across multiple processors and storage devices can help companies achieve linear scalability.
随着数据量的增加，跨多个处理器和存储设备分布数据库内容有助于实现线性的可伸缩性。
This thesis introduced RGB space, CMYK space, HSV space. All these spaces, HSV space is more suitable for human to perceive color. Also, this model has good linear scalability advantages.
其中HSV空间更符合人眼感知色彩的方式，此空间模型具有线性伸缩性良好，色差与颜色分量在相应值上的欧几里德距离成比例等优点。
For example, Cassandra is designed specifically to provide linear write scalability across multiple nodes for storing huge quantities of data.
例如，Cassandra专门用来为存储大量数据提供跨多个节点的线性写入可伸缩性。
Had better CPU scalability, with almost linear increases in RPS?
具有更好的CPU可伸缩性，在RPS方面几乎是线性增长的。
Tim Peierls has constructed a simple benchmark for measuring the relative scalability of synchronized versus Lock, using a simple linear congruence pseudorandom number generator (PRNG).
TimPeierls用一个简单的线性全等伪随机数生成器(PRNG)构建了一个简单的评测，用它来测量synchronized和Lock之间相对的可伸缩性。
The method has the nearly linear time complexity with the size of dataset and the number of attributes. This results in good scalability.
该方法关于数据库的大小、属性个数具有近似线性时间复杂度，这使得算法具有好的扩展性。
The results showed that as the number of nodes increases, the system performance has linear growth. And that shows that the system has good scalability.
实验结果表明，随着采集节点的增加，系统的采集性能呈线性增长，说明系统具有很好的可扩展性。
The time complexity of the detection approach is nearly linear with the size of dataset and the number of attributes, which results in good scalability and adapts to large dataset.
该异常检测方法关于数据集大小和属性个数具有近似线性时间复杂度，适合于大规模数据集。
The time complexity of the detection approach is nearly linear with the size of dataset and the number of attributes, which results in good scalability and adapts to large dataset.
该异常检测方法关于数据集大小和属性个数具有近似线性时间复杂度，适合于大规模数据集。
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