@inproceedings{a089b77a2ea9481b908983215fc04da3,
title = "A Prediction-Based Cache Replacement Policy for Flash Storage",
abstract = "Replacement algorithms in most disk-based operating systems focus on optimizing memory hit counts. For flash storage, such algorithms would incur high replacement costs in terms of time and energy consumption because writing dirty pages to flash memory is costly. Thus, this work proposes an intelligent approach for efficiently balancing the trade-off between cache replacement costs and cache hit rate performance. Our logistic regression-based approach predicts future reference probabilities of pages in the cache to identify candidate pages for eviction. To ascertain our superiority of the proposed system, we conducted rigorous simulations based on online transaction processing workload traces. Simulation results shows that our approach outperforms state-of-the-art methods.",
keywords = "Cache replacement policy, Flash memory, Logistic regression, Machine learning",
author = "Pham, \{Van Nguyen\} and Josh, \{Mwasinga Lusungu\} and Le, \{Duc Tai\} and Lee, \{Sang Won\} and Hyunseung Choo",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Singapore Pte Ltd.; 8th International Conference on Future Data and Security Engineering, FDSE 2021 ; Conference date: 24-11-2021 Through 26-11-2021",
year = "2021",
doi = "10.1007/978-981-16-8062-5\_10",
language = "English",
isbn = "9789811680618",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "161--169",
editor = "Dang, \{Tran Khanh\} and Josef K{\"u}ng and Chung, \{Tai M.\} and Makoto Takizawa",
booktitle = "Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications - 8th International Conference, FDSE 2021, Proceedings",
}