Abstract
The performance of page replacement algorithms used by the virtual memory management system and file system of operating systems is important because of the higher disk access latency. The situation complicates further under the limitation of memory. There exists a set of page replacement algorithms, however, a majority of them are based on static policies. In this paper, a novel Fuzzy Adaptive Page Replacement algorithm (FAPR) is proposed. The FAPR algorithm applies fuzzy inference technique based on an adaptive rule-base and online priority control. The algorithm is simulated in a highly memory-constrained environment under various load distributions. The results demonstrate that the FAPR algorithm enhances the performance in comparison to the commonly used algorithms such as, LRU and LFU. In the worst-case execution model, FAPR algorithm averages the performance of the LRU and LFU algorithms. This paper describes the design and simulation of the FAPR algorithm along with the results.
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Bagchi, S., Nygaard, M. (2004). A Fuzzy Adaptive Algorithm for Fine Grained Cache Paging. In: Schepers, H. (eds) Software and Compilers for Embedded Systems. SCOPES 2004. Lecture Notes in Computer Science, vol 3199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30113-4_15
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DOI: https://doi.org/10.1007/978-3-540-30113-4_15
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