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Search engines also frequently make web pages they have indexed available from their cache. For example, Google provides a "Cached" link next to each search result.

This can prove useful when web pages from a web server are temporarily or permanently inaccessible.

Another type of caching is storing computed results that will likely be needed again, or memoization. For example, ccache is a program that caches the output of the compilation, in order to speed up later compilation runs.

Database caching can substantially improve the throughput of database applications, for example in the processing of indexes , data dictionaries , and frequently used subsets of data.

A distributed cache [14] uses networked hosts to provide scalability, reliability and performance to the application. The semantics of a "buffer" and a "cache" are not totally different; even so, there are fundamental differences in intent between the process of caching and the process of buffering.

Fundamentally, caching realizes a performance increase for transfers of data that is being repeatedly transferred. While a caching system may realize a performance increase upon the initial typically write transfer of a data item, this performance increase is due to buffering occurring within the caching system.

With read caches, a data item must have been fetched from its residing location at least once in order for subsequent reads of the data item to realize a performance increase by virtue of being able to be fetched from the cache's faster intermediate storage rather than the data's residing location.

With write caches, a performance increase of writing a data item may be realized upon the first write of the data item by virtue of the data item immediately being stored in the cache's intermediate storage, deferring the transfer of the data item to its residing storage at a later stage or else occurring as a background process.

Contrary to strict buffering, a caching process must adhere to a potentially distributed cache coherency protocol in order to maintain consistency between the cache's intermediate storage and the location where the data resides.

Buffering, on the other hand,. With typical caching implementations, a data item that is read or written for the first time is effectively being buffered; and in the case of a write, mostly realizing a performance increase for the application from where the write originated.

Additionally, the portion of a caching protocol where individual writes are deferred to a batch of writes is a form of buffering. The portion of a caching protocol where individual reads are deferred to a batch of reads is also a form of buffering, although this form may negatively impact the performance of at least the initial reads even though it may positively impact the performance of the sum of the individual reads.

In practice, caching almost always involves some form of buffering, while strict buffering does not involve caching.

A buffer is a temporary memory location that is traditionally used because CPU instructions cannot directly address data stored in peripheral devices.

Thus, addressable memory is used as an intermediate stage. Additionally, such a buffer may be feasible when a large block of data is assembled or disassembled as required by a storage device , or when data may be delivered in a different order than that in which it is produced.

Also, a whole buffer of data is usually transferred sequentially for example to hard disk , so buffering itself sometimes increases transfer performance or reduces the variation or jitter of the transfer's latency as opposed to caching where the intent is to reduce the latency.

These benefits are present even if the buffered data are written to the buffer once and read from the buffer once.

A cache also increases transfer performance. A part of the increase similarly comes from the possibility that multiple small transfers will combine into one large block.

But the main performance-gain occurs because there is a good chance that the same data will be read from cache multiple times, or that written data will soon be read.

A cache's sole purpose is to reduce accesses to the underlying slower storage. Cache is also usually an abstraction layer that is designed to be invisible from the perspective of neighboring layers.

From Wikipedia, the free encyclopedia. Computing component that transparently stores data so that future requests for that data can be served faster.

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Unsourced material may be challenged and removed. Diagram of a CPU memory cache operation. Main article: Cache coherence. Main article: CPU cache.

Main article: Translation lookaside buffer. Main article: Page cache. Contact Us. A Neighborly Company. Qualified Experts.

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More details about Reload Icons Cache 1. This page is about Reload Icons Cache 1. Following the uninstall process, the application leaves some files behind on the PC.

Sometimes, people try to uninstall it. This can be hard because uninstalling this by hand requires some know-how related to Windows program uninstallation.

Here are some detailed instructions about how to do this: 1. Quit Microsoft Teams. Delete contents of the entire folder. Restart Microsoft Teams.