caching - определение. Что такое caching
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Что (кто) такое caching - определение

COMPUTING COMPONENT THAT TRANSPARENTLY STORES DATA SO THAT FUTURE REQUESTS FOR THAT DATA CAN BE SERVED FASTER
Caching; Draft:Cache memory; Write-through; Write-thru; Write-back; No-write allocation; Cache miss; Cache conflict; Cache hit; Cache-Memory; Memory cache; Write through cache; Write back cache; Cash memory; Cache misses; Cacheable content; Cache Memory; Dirty cache; Dirty flag; SQL caching; Game Cache File; Lazy write; Dirty (computer science); Backing store; Result cache; Memory caching; Caching (computing); Write-around; Write-behind; Writeback; Cache memory; GPU cache; Cache hit ratio; Cache hit rate; Write-back cache; Hardware cache; Software caches; Remote memory; Remote cache; Stack cache; Copy back cache; Writethrough
  • A write-back cache with write allocation
  • A write-through cache with no-write allocation
Найдено результатов: 130
caching         
Hoarding (animal behavior)         
ANIMAL BEHAVIOR; STORAGE OF FOOD IN HIDDEN LOCATIONS
Cache (biology); Scatter-hoarder; Hoarding (behaviour); Larder-hoarder; Hoarding (animal behaviour); Scatterhoarding; Pilferage (animal behavior)
Hoarding or caching in animal behavior is the storage of food in locations hidden from the sight of both conspecifics (animals of the same or closely related species) and members of other species.Vander Wall, Stephen B.
P2P caching         
TERM
P2p caching
Peer-to-peer caching (P2P caching) is a computer network traffic management technology used by Internet Service Providers (ISPs) to accelerate content delivered over peer-to-peer (P2P) networks while reducing related bandwidth costs.
AppFabric Caching         
SOFTWARE ON COMPUTER SERVERS
Velocity (memory cache); Microsoft Codename "Velocity"; Microsoft codename "Velocity"; AppFabric Caching Service
AppFabric Caching provides an in-memory, distributed cache platform for Windows Server. Microsoft developed AppFabric Caching and released it as part of AppFabric.
Cache replacement policies         
  • Optimal Working
  • LIRS algorithm working
  • LRU working
  • Block diagram of the Mockingjay cache replacement policy.
  • MRU working
  • Multi Queue Replacement
  • Pseudo LRU working
ALGORITHM FOR CACHING DATA
Least Recently Used; Belady's Min; Least recently used; Cache algorithm; Caching algorithm; LRU cache; MRU cache; LRU algorithm; Bélády's Min; Least-recently used; Cache replacement policy; Cache replacement algorithm; Cache algorithms; Cache Replacement Policies
In computing, cache algorithms (also frequently called cache replacement algorithms or cache replacement policies) are optimizing instructions, or algorithms, that a computer program or a hardware-maintained structure can utilize in order to manage a cache of information stored on the computer. Caching improves performance by keeping recent or often-used data items in memory locations that are faster or computationally cheaper to access than normal memory stores.
Smart Response Technology         
TECHNOLOGY
SSD Caching; Intel Smart Response Technology
In computer data storage, Smart Response Technology (SRT, also called SSD Caching before it was launched) is a proprietary caching mechanism introduced in 2011 by Intel for their Z68 chipset (for the Sandy Bridge–series processors), which allows a SATA solid-state drive (SSD) to function as cache for a (conventional, magnetic) hard disk drive (HDD).
cache miss         
<storage> A request to read from memory which cannot be satisfied from the cache, for which the main memory has to be consulted. Opposite: cache hit. (1997-01-21)
Funky caching         
Funky caching is the generation, display and storage of dynamic content when a requested static web page resource isn't available.
cache conflict         
<storage> A sequence of accesses to memory repeatedly overwriting the same cache entry. This can happen if two blocks of data, which are mapped to the same set of cache locations, are needed simultaneously. For example, in the case of a direct mapped cache, if arrays A, B, and C map to the same range of cache locations, thrashing will occur when the following loop is executed: for (i = 1; i < n; i++) C[i] = A[i] + B[i]; Cache conflict can also occur between a program loop and the data it is accessing. See also ping-pong. (1997-01-21)
cache memory         

Википедия

Cache (computing)

In computing, a cache ( (listen) 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 and to enable efficient use of data, caches must be relatively small. Nevertheless, caches have proven themselves 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 already, and spatial locality, where data is requested that is stored physically close to data that has already been requested.