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The simplest page-replacement algorithm is a FIFO algorithm. The first-in, first-out (FIFO) page replacement algorithm is a low-overhead algorithm that requires little bookkeeping on the part of the operating system. The idea is obvious from the name – the operating system keeps track of all the pages in memory in a queue, with the most ...
Bélády's algorithm is the optimal cache replacement policy, but it requires knowledge of the future to evict lines that will be reused farthest in the future. A number of replacement policies have been proposed which attempt to predict future reuse distances from past access patterns, [21] allowing them to approximate the optimal replacement ...
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. [1] This is achieved by using "reuse distance" [ 2 ] as the locality metric for dynamically ranking accessed pages to make a replacement decision.
In computer operating systems, memory paging is a memory management scheme that eliminates the need for contiguous memory allocation, [1]. It is often combined with the related technique of allocating and freeing page frames and storing pages on and retrieving them from secondary storage [a] in order to allow the aggregate size of the address spaces to exceed the physical memory of the system. [2]
Page replacement algorithm; Prophet inequality; S. Ski rental problem; T. The Library of Babel (website) This page was last edited on 17 August 2023, at 23:01 ...
Of fundamental importance to any algorithm that controls the movement of pages, and of prime interest in the description of any paging system, is the main memory replacement algorithm, known in the literature as the "Page Replacement Algorithm," or PRA.
Adaptive Replacement Cache (ARC) is a page replacement algorithm with better performance [1] than LRU (least recently used). This is accomplished by keeping track of both frequently used and recently used pages plus a recent eviction history for both. The algorithm was developed [2] at the IBM Almaden Research Center.
Pseudo-LRU or PLRU is a family of cache algorithms which improve on the performance of the Least Recently Used (LRU) algorithm by replacing values using approximate measures of age rather than maintaining the exact age of every value in the cache. PLRU usually refers to two cache replacement algorithms: tree-PLRU and bit-PLRU.