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Cache (computing)

computing component that transparently stores data so that future requests for that data can be served faster

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Record originEnglish Wikipedia
Text licenseCC BY-SA 4.0
Source revisionSep 1, 2026
Entity authorityQ165596
Source-derived summary

In computing, a cache ( KASH) is a hardware or software component that stores data so that future requests for that data can be served faster; the data stored in a cache might be the result of an earlier computation or a copy of data stored elsewhere. A cache hit occurs when the requested data can be found in a cache, while a cache miss occurs when it cannot. Cache hits are served by reading data from the cache, which is faster than recomputing a result or reading from a slower data store; thus, the more requests that can be served from the cache, the faster the system performs.

To be cost-effective, caches must be relatively small. Nevertheless, caches are effective in many areas of computing because typical computer applications access data with a high degree of locality of reference. Such access patterns exhibit temporal locality, where data is requested that has been recently requested, and spatial locality, where data is requested that is stored near data that has already been requested.

Motivation

In memory design, there is an inherent trade-off between capacity and speed because larger capacity implies larger size and thus greater physical distances for signals to travel causing propagation delays. There is also a tradeoff between high-performance technologies such as SRAM and cheaper, easily mass-produced commodities such as DRAM, flash, or hard disks.

The buffering provided by a cache benefits one or both of latency and throughput (bandwidth).

A larger resource incurs a significant latency for access – e.g.

Editorial summary

Begin with the source’s own compact description: “Cache (computing)” is computing component that transparently stores data so that future requests for that data can be served faster. The dossier treats that line as a proposition to test through Cache, computing and component, not as a finished interpretation.

Editorial reviewA sound reference starting point where classification, measurement and the date of the underlying evidence remain visible. The current 252-word lead offers orientation but no explicit four-digit date, so chronology should not be assumed. The selected authority fields contribute no independent date. For this dossier, Cache, computing and component is the immediate research focus.
Editorial analysis

Why this record matters

The phrase “computing component that transparently stores data so that future requests for that data can be served faster” supplies a clear boundary for inquiry. It also exposes the unanswered questions: who defined that boundary, when it became stable and which sources sit outside it.

Evidence profile

The date and method of observation matter as much as the stated conclusion, especially where classification or consensus has changed. The source revision retrieved here is dated Sep 1, 2026. The linked authority identifier is Q165596. The Library of Congress control number is sh88007957. 1 of 1 selected statements include explicit references; 1 carry qualifiers and 0 use preferred rank.

Critical limits

Scientific names, classifications and consensus can change while older terminology persists in catalogues and historical literature. The source lead contains qualifying language; that uncertainty should survive quotation, summary and reuse. Authority statements aid reconciliation but still require their own references, qualifiers and ranks to be checked.

How to read it

Check terminology, classification and the date of the cited evidence. Scientific names and technical consensus can change while older records retain historical value.

Best used for
  • Current terminology
  • Classification context
  • Finding cited technical literature
Verify next

Primary datasets, specimen catalogues, standards bodies and the most recent peer-reviewed literature.

Three-step research path

  1. Establish the record: confirm the title “Cache (computing)”, its source revision and the description used here.
  2. Expand the search: follow Cache (computing) primary sources, Cache (computing) archive and Cache research across catalogues and specialist indexes.
  3. Test the account: compare the strongest cited source with the responsible institution’s current record and note any disagreement.

Questions for further research

  1. Which source most directly establishes the central claim about “Cache (computing)”?
  2. Has classification or technical consensus changed since the cited source?
  3. Is the terminology current, historical or disputed?
Subject index

Search terms from this dossier

Source & attribution

This entry incorporates text from Cache (computing)” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.