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Overview of content related to 'opac'

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This page provides an overview of 1 article related to 'cache'. Note that filters may be applied to display a sub-set of articles in this category (see FAQs on filtering for usage tips). Select this link to remove all filters.

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In computer engineering, a cache is a component that transparently stores data so that future requests for that data can be served faster. The data that is stored within a cache might be values that have been computed earlier or duplicates of original values that are stored elsewhere. If requested data is contained in the cache (cache hit), this request can be served by simply reading the cache, which is comparatively faster. Otherwise (cache miss), the data has to be recomputed or fetched from its original storage location, which is comparatively slower. Hence, the more requests can be served from the cache the faster the overall system performance is. (Excerpt from Wikipedia article: Cache)

Key statistics

Metadata related to 'cache' (as derived from all content tagged with this term):

  • Number of articles referring to 'cache': 72 (4.1% of published articles)
  • Total references to 'cache' across all Ariadne articles: 411
  • Average number of references to 'cache' per Ariadne article: 5.71
  • Earliest Ariadne article referring to 'cache': 1996-01
  • Trending factor of 'cache': 0 (see FAQs on monitoring of trends)

See our 'cache' overview for more data and comparisons with other tags. For visualisations of metadata related to timelines, bands of recency, top authors, and and overall distribution of authors using this term, see our 'cache' usage charts. Usage chart icon

Top authors

Ariadne contributors most frequently referring to 'cache':

  1. jon knight (see articles on this topic by this author)
  2. martin hamilton (see articles on this topic by this author)
  3. ruth jenkins (see articles on this topic by this author)
  4. brian kelly (see articles on this topic by this author)
  5. george neisser (see articles on this topic by this author)

Note: Links to all articles by authors listed above set filters to display articles by each author in the overview below. Select this link to remove all filters.

Title Article summary Date

Content Management Systems: Who Needs Them?

Paul Browning and Mike Lowndes explore the CMS concept and look at the available tools.

January 2002, issue30, feature article

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by Dr. Radut