2017
DOI: 10.14569/ijacsa.2017.080118
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A Computationally Efficient P-LRU based Optimal Cache Heap Object Replacement Policy

Abstract: Abstract-The recent advancement in the field of distributed computing depicts a need of developing highly associative and less expensive cache memories for the state-of-art processors i.e., Intel Core i6, i7, etc. Hence, various conventional studies introduced cache replacement policies which are one of the prominent key factors to determine the effectiveness of a cache memory. Most of the conventional cache replacement algorithms are found to be as not so efficient on memory management and complexity analysis… Show more

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Cited by 3 publications
(2 citation statements)
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“…Tree Pseudo-Least Recently Used (PLRU) approximates the LRU policy commonly used for setassociative caches. Instead of perfectly keeping track of the exact LRU order, which can be hardware-intensive, Tree PLRU uses a binary tree to guide replacement decisions [19,20]. It makes it more efficient in terms of hardware implementation for larger set-associative caches.…”
Section: Replacement Algorithms and Write Policymentioning
confidence: 99%
“…Tree Pseudo-Least Recently Used (PLRU) approximates the LRU policy commonly used for setassociative caches. Instead of perfectly keeping track of the exact LRU order, which can be hardware-intensive, Tree PLRU uses a binary tree to guide replacement decisions [19,20]. It makes it more efficient in terms of hardware implementation for larger set-associative caches.…”
Section: Replacement Algorithms and Write Policymentioning
confidence: 99%
“…Публікації [3][4][5][6][7][8][9] містять дослідження алгоритмів заміщення PLRU, LRU, SF-LRU, МRU на структурному рівні, але тут також тут відсутні оцінки швидкодії, складності реалізації та ймовірностей безвідмовної роботи.…”
Section: вступunclassified