What does PLE mean in UNCLASSIFIED

Page Life Expectancy measures the amount of time a page of data remains in a computer memory. A high PLE indicates that pages are being used and reused efficiently. The longer the page life expectancy, the less often a system needs to fetch information from a disk drive or other storage device. Therefore, having an efficient memory management with higher PLE results in better system performance.

You can determine your server's PLE by using Performance Monitor to save and then subtract two data points from the Memory object; one taken at the start of monitoring, and another one taken after an appropriate interval. The resulting number will be expressed as seconds per page.

If you notice that your server's PLE is too low, you should take steps to improve it by increasing available RAM or ensuring that current RAM usage is optimized. To increase RAM size, you may need to add more physical memory modules to your system board or install additional servers in a clustered configuration. To optimize current RAM usage, use tools such as Task Manager or Process Explorer to identify processes consuming excessive amounts of memory and either reduce or stop them if they are not needed for the system's core operations.

Increasing your PLE not only increases your server's capacity for storing information and improves its overall performance but also reduces disk access frequency due to more effective use of currently available resources. As such, you can expect an improvement in overall speed and efficiency when attempting to access data stored on disk drives with higher PLE values.

Yes, typically 64-bit systems exhibit significantly higher Page Life Expectancies than their 32-bit counterparts due to the larger address space available for caching data pages on 64-bit operating systems that allows them to make more effective use of existing physical memory resources.

Yes - assigning priority levels within virtual machines generally helps improve both overall system performance as well as page life expectancy since it allows each virtual machine instance its own percentage of allocated resources which it can then manage more effectively according to its needs without interfering with other services running on the same hardware platform.

Applications which require frequent accesses to large datasets (e.g., databases) typically benefit most from increased page life expectancy since they are able to store more frequently accessed data in physical memory for faster retrieval rather than having to fetch it from slower backing storage devices (e.g., hard disks).

No - rebooting does not reset the PLE value back to zero since this metric is calculated over time intervals rather than individual sessions; however, rebooting will remove any existing pages cached in physical memory thus reducing current PLE values until new pages have been loaded again.

Generally speaking, age/usage frequency does play some role in determining how efficient any given machine is able to make use of physical memory resources; however, this depends largely on how well maintained/optimized said machine has been over time so there really isn't any reliable way of predicting what kind of impact either factor has on an individual computer's page life expectancy metrics without observing them over extended periods over time first.