Matches in DBpedia 2015-10 for { ?s ?p "In computing, a cache (/ˈkæʃ/ KASH, or /ˈkeɪʃ/ KAYSH in AuE) is a component that stores data so future requests for that data can be served faster; the data stored in a cache might be the results of an earlier computation, or a duplicate 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 can be served from the cache, the faster the system performs.To be cost-effective and to enable efficient use of data, caches are relatively small. Nevertheless, caches have proven themselves in many areas of computing because access patterns in typical computer applications exhibit the locality of reference. Moreover, access patterns exhibit temporal locality if data is requested again that has been recently requested already, while spatial locality refers to requests for data physically stored close to data that has been already requested."@en }
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- Cache_(computing) abstract "In computing, a cache (/ˈkæʃ/ KASH, or /ˈkeɪʃ/ KAYSH in AuE) is a component that stores data so future requests for that data can be served faster; the data stored in a cache might be the results of an earlier computation, or a duplicate 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 can be served from the cache, the faster the system performs.To be cost-effective and to enable efficient use of data, caches are relatively small. Nevertheless, caches have proven themselves in many areas of computing because access patterns in typical computer applications exhibit the locality of reference. Moreover, access patterns exhibit temporal locality if data is requested again that has been recently requested already, while spatial locality refers to requests for data physically stored close to data that has been already requested.".