With that information you can model and calculate the data access time.
有了这些信息，您就可以建模和计算数据访问时间。
After applying the computations, the estimated data access time works out to be ~ 47 ms.
在进行计算之后，估计的数据访问时间算出来约为47ms。
With this model, you can simulate the effects a higher near-cache hit will have on the average data access time.
使用这个模型，您可以对较高近距离缓存命中率对平均数据访问时间造成的影响进行模拟。
The effect of increasing the probability of a cache hit in the near cache is a 42% improvement in data access time.
近缓存中缓存命中率逐渐增加，其效果是数据访问时间提高了 42%。
The simulation results show that this replication strategy can reduce the average data access time efficiently.
模拟实验的结果显示此副本创建策略可以有效降低数据平均访问时间。
To compute the data access time, you need to know the probabilities for the data existing in the near-cache, in the server cache, and in the database.
要计算数据访问时间，您需要了解数据存在于近缓存中、服务器缓存中、以及数据库中的概率。
Figure 15. Increasing the probability of a near-cache hit, either through larger near caches or affinity routing, reduces the average data access time.
图15.通过较大近缓存或者关联路由，逐渐增加近缓存命中的概率，可以减少平均数据访问时间。
In the initial example above, the reduction of key data access time from 60 ms to 6 ms was a direct result of this caching benefit and the load reduction on the back-end database.
在上例中，关键数据访问时间从60ms减少到6 ms是该缓存带来的直接好处，同时还减少了后端数据库的负载。
In a mobile computing environment, improving the data access efficiency not only means reducing the data access time, but also needs to decrease the power consumption while accessing data.
在移动计算环境中，提高移动客户机的数据访问效率，不仅意味着减少移动客户机访问数据的响应时间，同时还需要尽量减少移动客户机访问数据过程中的能量消耗。
It's a complex system wherein data is copied to multiple intermediate devices, usually to speed up access to files when millions of people are trying to access the service at the same time.
这是一个复杂的系统，数据被复制到多个中间设备，通常是为了在数百万人同时试图访问服务时加快文件访问速度。
That is, you make sure that only one thread at a time can access a certain data structure by locking and unlocking it.
这就是说，通过线程的锁定和解锁，对于某一数据结构，确保某一时刻只能有一个线程能够访问它。
An iterator is a kind of code helper that lets you quickly access data in any collection or container, one at a time.
迭代器是某种代码助手，可以让您迅速地访问任何集合或容器中的数据，每次一个数据。
Pessimistic session locking should be used with great discretion, as it serializes access to data across a business process that includes user think time.
必须谨慎使用悲观会话锁定，因为它在业务流程（包括用户思考时间）中序列化数据访问。
As a result, the disk access time is much longer when reading data in random order than when reading in sequential order.
因此，与按顺序读取相比，按随机顺序读取数据时的磁盘访问时间要长得多。
Faster data access makes your applications run faster, so you have better user response time, better application throughput, and a better ability to support more users.
更快的数据访问可以让应用程序运行的更快，因此能获得更好的用户响应时间，更好的应用程序吞吐量，更强大的支持更多用户的能力。
When data are contiguous, the time used to access data on the disk is minimized and the database server can read data faster.
当数据连续时，用于访问磁盘上数据的时间最少，数据库服务器可以更快地读取数据。
Users can access this data with simple SQL containing a time period specification.
用户可以使用包含一个时间区间的简单SQL 来访问这个数据。
If two parallel paths try to access the same data at the same time, you could run into consistency issues.
如果两个并行路径尝试同时访问同一数据，则您会遇到一致性问题。
Static SQL in DB2 is a powerful capability that can streamline data access at run time by doing some of the work ahead of time, such as determining the database access path.
DB 2中的静态SQL是一个强大的功能，可以通过预先执行某些工作来简化运行时的数据访问，例如确定数据库访问路径。
Figure 6 demonstrates how a write mode time queue for file access can improve data consistency
图6显示了文件访问的写模式时间队列如何改善数据一致性
Data that needs to have subsecond access time.
需要具有亚秒(subsecond)存取时间的数据。
support for multiple forms of data access at the same time, as long as they all use DbProviderFactory
在同一时间支持多种形式的数据访问，只要它们都使用DbProviderFactory就行
When the first data management systems emerged in the 1960s, disk drives were the only place to store and access large amounts of data in a reasonable time.
当 20 世纪 60年代数据管理系统刚刚出现时，磁盘驱动器是唯一可以在合理时间内存储和访问大量数据的地方 。
TimeSeries data is more compact and faster to access precisely because it does not actually store the date and time with the data.
TimeSeries数据更小一些，并且访问起来也更快一些，因为它并不是存储真正的日期和时间数据。
First, the Vee-Table pointer is used to access virtual functions, and data members are accessed directly using compile time offsets.
首先，Vee -Table指针用于访问虚函数，而对数据成员的访问直接使用编译时偏移量实现。
In any event, the mock implementation should definitely not try to handle every possible stock symbol or access a database with real-time data.
在任何情况下，模拟实现肯定都不应该试图处理每个可能的股票代码或访问具有实时数据的数据库。
The solution is based on software and hardware architectures that deliver speed of data access for near real time and interactive use of information.
这个解决方案是基于支持接近实时的快速数据访问和交互式信息使用的软件与硬件架构。
A hacker could perform a memory dump at the right time and then gain access to this sensitive data.
黑客则会在适当的时刻，将内存中的信息转储出来，进而成功地访问这些敏感数据。
SSO reduces operational cost and time to access data.
SSO可以减少访问数据的操作成本和时间。
What's interesting with this model is that multiple readers are permitted access to the data at one time, but only one writer.
这个模型有趣的地方在于允许多个线程同时访问相同数据，但同一时刻只允许一个线程写入数据。
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