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locality of reference

   Also found in: Wikipedia 0.01 sec.
locality of reference
Also known as "locality in space" and "spatial locality," it refers to the fact that most instructions in a program are in routines that are executed over and over, and that these routines are in a reasonably confined area. It also refers to data fields in close proximity to each other.

This is the principle behind memory and disk caches, in which data or instructions are placed in higher-speed memory and get read many times before the memory is overwritten by another set. See cache.


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The Markov model has an additional advantage in that it reveals an application's locality of reference, since "the performance of demand-driven caching depends on the locality of reference exhibited by the stream of requests made to the cache" [13] (abstract).
Read-intensive applications such as OLTP require large numbers of random read requests and represent a good locality of reference or a high hit-ratio, making it best suited as a disk-caching application.
The large data set with low locality of reference results in high data cache miss rates and low (less than 30%) effective utilization of a single-threaded processor.
 
 
 
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