Don't make cache too complex: A simple probability-based cache management scheme for SSDs
Solid-state drives (SSDs) have recently become a common storage component in computer systems, and they are fueled by continued bit cost reductions achieved with smaller feature sizes and multiple-level cell technologies. However, as the flash memory stores more bits per cell, the performance and re...
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description | Solid-state drives (SSDs) have recently become a common storage component in computer systems, and they are fueled by continued bit cost reductions achieved with smaller feature sizes and multiple-level cell technologies. However, as the flash memory stores more bits per cell, the performance and reliability of the flash memory degrade substantially. To solve this problem, a fast non-volatile memory (NVM-)based cache has been employed within SSDs to reduce the long latency required to write data. Absorbing small writes in a fast NVM cache can also reduce the number of flash memory erase operations. To maximize the benefits of an NVM cache, it is important to increase the NVM cache utilization. In this paper, we propose and study ProCache, a simple NVM cache management scheme, that makes cache-entrance decisions based on random probability testing. Our scheme is motivated by the observation that frequently written hot data will eventually enter the cache with a high probability, and that infrequently accessed cold data will not enter the cache easily. Owing to its simplicity, ProCache is easy to implement at a substantially smaller cost than similar previously studied techniques. We evaluate ProCache and conclude that it achieves comparable performance compared to a more complex reference counter-based cache-management scheme. |
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We evaluate ProCache and conclude that it achieves comparable performance compared to a more complex reference counter-based cache-management scheme.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0174375</identifier><identifier>PMID: 28358897</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Algorithms ; Analysis ; Biology and Life Sciences ; Cache memory ; Cold ; Computer and Information Sciences ; Computer memory ; Computer storage devices ; Consumer electronics ; Data storage ; Electronics industry ; Flash memory ; Flash memory (computers) ; Identification ; Information Storage and Retrieval ; Latency ; Management ; Physical Sciences ; Probability ; Random access memory ; Reproducibility of Results ; Research and Analysis Methods ; Social Sciences ; Software ; Solid state devices ; Stores</subject><ispartof>PloS one, 2017-03, Vol.12 (3), p.e0174375-e0174375</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Baek et al. 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However, as the flash memory stores more bits per cell, the performance and reliability of the flash memory degrade substantially. To solve this problem, a fast non-volatile memory (NVM-)based cache has been employed within SSDs to reduce the long latency required to write data. Absorbing small writes in a fast NVM cache can also reduce the number of flash memory erase operations. To maximize the benefits of an NVM cache, it is important to increase the NVM cache utilization. In this paper, we propose and study ProCache, a simple NVM cache management scheme, that makes cache-entrance decisions based on random probability testing. Our scheme is motivated by the observation that frequently written hot data will eventually enter the cache with a high probability, and that infrequently accessed cold data will not enter the cache easily. Owing to its simplicity, ProCache is easy to implement at a substantially smaller cost than similar previously studied techniques. 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subjects | Algorithms Analysis Biology and Life Sciences Cache memory Cold Computer and Information Sciences Computer memory Computer storage devices Consumer electronics Data storage Electronics industry Flash memory Flash memory (computers) Identification Information Storage and Retrieval Latency Management Physical Sciences Probability Random access memory Reproducibility of Results Research and Analysis Methods Social Sciences Software Solid state devices Stores |
title | Don't make cache too complex: A simple probability-based cache management scheme for SSDs |
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