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WRP: Weighting Replacement Policy to Improve Cache Performance

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2 Author(s)
Samiee, K. ; Iran Univ. of Sci. & Technol., Tehran ; Rad, G.R.

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.

Published in:

Computer Science and its Applications, 2008. CSA '08. International Symposium on

Date of Conference:

13-15 Oct. 2008