International Symposium on Computer Science and Its Applications 2008
DOI: 10.1109/csa.2008.61
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WRP: Weighting Replacement Policy to Improve Cache Performance

Abstract: As the performance gap between memory systems and processors has increased, virtual memory management plays an important role in system performance. Different caching policies have different effects on the system performance. This paper studies an adaptive replacement policy which has low overhead on system and is easy to implement. Simulations show that our algorithm performs better than Least-Recently-Used (LRU) and Least-Frequently-Used (LFU). In addition, it performs similarly to LRU in worst cases. Index … Show more

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Cited by 7 publications
(7 citation statements)
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References 8 publications
(4 reference statements)
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“…And consider the time difference ∆T i =Tc i -Tp i where Tc i is the time of last access and Tp i is the time of penultimate access. Then the weighting value of block can be calculated as [1] i i…”
Section: Replacement Strategymentioning
confidence: 99%
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“…And consider the time difference ∆T i =Tc i -Tp i where Tc i is the time of last access and Tp i is the time of penultimate access. Then the weighting value of block can be calculated as [1] i i…”
Section: Replacement Strategymentioning
confidence: 99%
“…Database and operating system are two most important ones. Now days, World Wide Web is becoming another popular area of caching [1,2,3]. The objective of this paper is reducing the power consumption by reducing cache misses.…”
Section: Related Workmentioning
confidence: 99%
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“…We assume that all pages, frames size are 3KB and 1KB etc. and reference string of size 3 thousand[7,13].…”
mentioning
confidence: 99%