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Co-Active: A Workload-Aware Collaborative Cache Management Scheme for NVMe SSDs

文献类型：期刊论文

作者Sun, Hui1,2; Dai, Shangshang1; Huang, Jianzhong3; Qin, Xiao4
刊名IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
出版日期2021-06-01
卷号32期号:6页码:1437-1451
关键词Time factors Nonvolatile memory Memory management Parallel processing Sun Protocols Degradation Cache management NAND flash solid state disks proactive write back
ISSN号1045-9219
DOI10.1109/TPDS.2021.3052028
英文摘要When it comes to NAND Flash-based solid-state disks (SSDs), cache can narrow the performance gap between user-level I/Os and flash memory. Cache management schemes impose relentless impacts on the endurance and performance of flash memory. A vast majority of existing cache management techniques adopt a passive data-update style (e.g., GCaR, LCR), thereby undermining response times in burst I/O requests-based applications(1) 1. Burst I/O requests must be served in a real-time manner. This type of I/O access pattern is prevalent in data-intensive workloads. . To address this issue, we propose a collaborative active write-back cache management scheme, called Co-Active, customized for I/O access patterns and the usage status of a flash chip. We design a hot/cold separation module to determine whether data is cold or hot in workload. When a flash chip is idle, cold and dirty data in the cache is flushed into the idle flash chip to produce clean data. To curtail cache replacement cost, clean data are preferentially evicted amid the procedure of cache replacement. A maximum write-back threshold is configured according to the level of burst I/O requests in workload. This threshold is intended to avert redundant write I/Os flushing into flash memory, thereby boosting the endurance of flash memory. The experiments are conducted to validate the advantages of Co-Active in terms of average response time, write amplification, and erase count. The findings unveil that compared with the six popular cache management schemes (LRU, CFLRU, GCaR_CFLRU, LCR, and MQSim), Co-Active (1) slashes the average response time by up to 83.89 percent with an average of 32.7 percent; (2) drives up the performance cliff degree by up to 76.4 percent with an average of 42.3 percent; and (3) improves write amplification rate by up to 60.5 percent with an average of 5.4 percent.
资助项目National Natural Science Foundation of China[61702004] ; National Natural Science Foundation of China[62072001] ; National Natural Science Foundation of China[61821003] ; State Key Laboratory of Computer Architecture (ICT, CAS)[CARCH201915] ; Natural Science Research Projects at Higher Institutions in Anhui Province[KJ2017A015] ; U.S. National Science Foundation[IIS1618669] ; U.S. National Science Foundation[OAC-1642133] ; U.S. National Science Foundation[CCF-0845257]
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000615035300006
出版者IEEE COMPUTER SOC
源URL[http://119.78.100.204/handle/2XEOYT63/16180]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Huang, Jianzhong
作者单位1.Anhui Univ, Sch Sci & Technol, Hefei 230601, Anhui, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100864, Peoples R China
3.Huazhong Univ Sci & Technol, Wuhan Natl Lab Optoelect, Wuhan 430074, Hubei, Peoples R China
4.Auburn Univ, Dept Comp Sci & Software Engn, Auburn, AL 36849 USA
推荐引用方式
GB/T 7714		 Sun, Hui,Dai, Shangshang,Huang, Jianzhong,et al. Co-Active: A Workload-Aware Collaborative Cache Management Scheme for NVMe SSDs[J]. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS,2021,32(6):1437-1451.
APA Sun, Hui,Dai, Shangshang,Huang, Jianzhong,&Qin, Xiao.(2021).Co-Active: A Workload-Aware Collaborative Cache Management Scheme for NVMe SSDs.IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS,32(6),1437-1451.
MLA Sun, Hui,et al."Co-Active: A Workload-Aware Collaborative Cache Management Scheme for NVMe SSDs".IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 32.6(2021):1437-1451.

入库方式： OAI收割

来源：计算技术研究所

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