访问存储系统的程序会与虚拟机系统进行通讯，而不是将数据直接存储到硬盘上。
The applications that access the storage system interface with the virtual system, rather than storing data to the disks directly.
用于存储数据的硬盘必须通过私有互联结构（串行线缆）或者LAN连接到构成群集的服务器。
The disks used to store the data must be connected by a private interconnect (serial cable) or LAN to the servers that make up the cluster.
所有现有数据都在后台从常规硬盘驱动器自动移动到SSD。
All existing data is moved underneath the cover from regular disk drives to SSDs automatically.
在建立存储池之后，我们需要认识到的是，数据可能被毁坏，硬盘驱动器可能会出现故障。
Now that the storage pool is up, we need to be aware that data might get corrupted or hard drives can be faulty.
在传统的桌面应用程序中，数据往往是存放在我们计算机的硬盘里。
In the traditional world of desktop applications, data is usually stored on my computer's hard drive.
缓冲池应该大到足以在内存中保留所需的数据，以便减少硬盘驱动器的活动。
The buffer pool should be large enough to keep the required data in memory so that hard disk drive activity can be reduced.
坏扇区降低硬盘性能，有时甚至使数据写入(如文件保存)困难，甚至是不能。
Bad sectors slow down hard disk performance and sometimes make data writing (such as file saving) difficult, or even impossible.
检查连接硬盘驱动器和计算机控制器的数据电缆(大的扁平电缆)。
Check the data cable (large flat cable) that connects hard disk drive to the computer's controller.
最简单的方法是用SSD替换所有常规硬盘驱动器并移动所有对象和数据。
The easiest approach would be simply to replace all regular disk drives with SSDs and move over all objects and data.
即便有大量的计算机可以读取硬盘驱动器，恢复这些数据也不是轻而易举之事。
Even with a plentiful supply of working computers to read hard drives, recovering data would not be easy.
将数据复制到这个新硬盘之后，它将自动保存到云存储中。
Once you copy data to this new network drive, it is automatically saved to the cloud.
在任何时候重新在硬盘上分区，都会有破坏原有分区数据的危险性。
Any time you repartition your hard drive, you run the risk of destroying the data on the original partitions.
东芝发布了一项新的硬盘技术，免去了删除敏感数据时的繁杂。
Toshiba has announced a new hard drive technology that takes the hassle out of wiping sensitive data.
解决方案是在内存和硬盘中保存数据的所有格式。
The solution is to keep in memory and disk all the formats used to display the data.
因此，您需要依靠其他存储介质来备份您的数据，比如，一个外部硬盘。
Thus, you may need to resort to some other medium, such as an external hard disk, to back up your user data.
用户或开发人员了解用于保存数据的硬盘吗？
Does the user or developer know the hard disk where the data is saved?
然而，要使这一技术像硬盘那样运作，同样位数的数据要不断地穿过读写磁头。
For the technology to work like a disk, though, the same bits of data will have to pass repeatedly under the reading and writing heads.
网格按行或按列排列，它反映硬盘存储数据的方式。
Cells are arranged in rows and columns, which mirrors the way a hard drive stores data.
业务需要数据冗余来保护，以免受单个硬盘故障的威胁。
Businesses need data redundancy to protect against individual hard-drive failures.
比火线或usb要快，基本用于外部硬盘的快速数据转移。
Faster than USB or FireWire, it's basically for external hard drives for quicker data transfers.
是你自身这个电脑中运行的各种程序，硬盘存有的各种数据和文件，类似种种。
It's the various programs you run on your computer along with the various data files that you have saved on your hard drive, and so forth.
在启动睡眠模式之前，我们至少应该确保所有重要数据都存储在网络或硬盘上。
At the very least we need to make sure that all important data is saved to the network or the hard drive before going into sleep mode.
他在家里放有四块500GB的硬盘，还有两个在数据中心。
He holds four 500 GB USB drives at his home, while the other two are at the data center.
整个过程，大概耗时半个小时~数小时，这取决于软件数量和硬盘数据大小。
The whole process takes anything from half an hour to a couple of hours, depending on the amount of software and data on the hard-drive.
因此，请求存储在内存中的数据的读事件不会访问硬盘。
Therefore, read events that request data already stored in memory don't generate a trip to the hard disk.
如果——不，假如发生的话——你的电脑硬盘崩溃了不能读出数据，别急着扔掉它。
If - no, make that when - your PC's hard drive crashes and can't be read, don't be too quick to throw it out.
卸下来的硬盘立即就被送到数据消除室外部下面的盒子里。
The removed drive then promptly makes its way to a drop-box on the exterior of a secured data-eradication room.
snippet处理器将表数据从硬盘阵列读取到内存中。
The snippet processor reads table data from the disk array into memory.
对于DB 2数据库服务器，增加资源的数量只会影响到硬盘的使用情况。
For the DB2 database server, increasing the number of resources affects only the disk usage.
对于DB 2数据库服务器，增加资源的数量只会影响到硬盘的使用情况。
For the DB2 database server, increasing the number of resources affects only the disk usage.
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