LIRS caching algorithm - significado y definición. Qué es LIRS caching algorithm
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Qué (quién) es LIRS caching algorithm - definición


LIRS caching algorithm         
LIRS (Low Inter-reference Recency Set) is a page replacement algorithm with an improved performance over LRU (Least Recently Used) and many other newer replacement algorithms. This is achieved by using "reuse distance" as the locality metric for dynamically ranking accessed pages to make a replacement decision.
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.
least recently used         
  • 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
(operating systems) (LRU) A rule used in a paging system which selects a page to be paged out if it has been used (read or written) less recently than any other page. The same rule may also be used in a cache to select which cache entry to flush. This rule is based on temporal locality - the observation that, in general, the page (or cache entry) which has not been accessed for longest is least likely to be accessed in the near future. (1995-02-15)