#Private cache windows code#

If this data is not static, it is likely that different application instances hold different versions of the data in their caches. Think of a cache as a snapshot of the original data at some point in the past. If you have multiple instances of an application that uses this model running concurrently, each application instance has its own independent cache holding its own copy of the data. This will be slower to access than data held in memory, but should still be faster and more reliable than retrieving data across a network. If you need to cache more information than is physically possible in memory, you can write cached data to the local file system. It can also provide an effective means for storing modest amounts of static data, since the size of a cache is typically constrained by the amount of memory available on the machine hosting the process.

#Private cache windows code#

It's held in the address space of a single process and accessed directly by the code that runs in that process. The most basic type of cache is an in-memory store. Server-side caching is done by the process that provides the business services that are running remotely. Client-side caching is done by the process that provides the user interface for a system, such as a web browser or desktop application. In both cases, caching can be performed client-side and server-side.

Using a shared cache, serving as a common source that can be accessed by multiple processes and machines.

Using a private cache, where data is held locally on the computer that's running an instance of an application or service.

It's far away when network latency can cause access to be slow.Дistributed applications typically implement either or both of the following strategies when caching data:.

It's subject to a high level of contention.

It's slow compared to the speed of the cache.

If this fast data storage is located closer to the application than the original source, then caching can significantly improve response times for client applications by serving data more quickly.Д¬aching is most effective when a client instance repeatedly reads the same data, especially if all the following conditions apply to the original data store: It does this by temporarily copying frequently accessed data to fast storage that's located close to the application. Caching is a common technique that aims to improve the performance and scalability of a system.