Shmat failed because of 0x000000c, which is ENOMEM or the available data space is not large enough to accommodate the Shared memory segment.
shmat失败于0x000000c，即ENOMEM或可用数据空间不足以容纳共享内存段。
In this example, you subtract the 1024 MB from the virtual data space available to Lotus Domino and use this for the ConstrainedSHMSizeMB setting.
在这个例子中，从LotusDomino可用的虚拟数据空间中减去1024MB，并使用这个值配置ConstrainedSHMSizeMB设置。
To illustrate, here's an example: The Domino server is running a very heavy Lotus Domino Web Access HTTP load that requires 1024 MB of private data space.
为了进行说明，现在举一个例子：一台Domino服务器正在运行非常沉重的Lotus DominoWebAccessHTTP负载，它需要1024MB的私有数据空间。
On other platforms, using ConstrainedSHMSizeMB to reduce the Shared memory automatically increases the amount of private data space for the application.
在其他平台上，使用ConstrainedSHMSizeMB减少共享内存，就会自动地增加应用程序的私有空间。
The relationship between name space and data space is implementation dependent.
名称空间和资料空间的关系是依实作而定的。
Applying phase space reconstruction method to divide time series into segments, we have mapped original series into multidimensional data space.
应用相空间重构技术对时间序列进行分割，将原序列映射到多维的数据空间中。
Feedforward networks use back propagation algorithm to train a multi-layer network. After training, the multi-layer network can fit the function in the data space very well.
前向网络利用反向传播算法训练多层网络，使训练后的网络较好地拟合样本空间中各点的函数值。
A clustering result evaluating algorithm is presented in a gravitational way, where all the data points in the data space are regarded as the particles assigned with unit mass.
为了定量分析聚类算法的聚类结果，提出了基于引力概念的聚类质量评估算法。
The conventional recognition system may be regarded as an open loop recognition system, which only executes a mono-direction mapping from input data space to recognition result space.
通常的识别系统只是执行了从输入数据空间到识别结果空间的单向映射，可以看作为一种开环识别系统；
〇数据空间使用(KB)。
Figure 25 depicts both graphical and statistical representations of the space utilization by different types of dbspaces — DATA space, TEMP space and BLOB space.
图25用图形和统计数据显示不同dbspace类型使用的空间——DATA空间、TEMP空间和BLOB空间。
It is important to point out that the Big Data space is still relatively new and that there are some technological barriers to taking advantage of these opportunities.
需要指出的重要一点是：BigData空间仍然相对较新，要利用这些机会，仍然有一些技术障碍。
It is important to point out that the Big Data space is still relatively new and that there are some technological barriers to taking advantage of these opportunities.
需要指出的重要一点是：BigData空间仍然相对较新，要利用这些机会，仍然有一些技术障碍。
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