{"title":"重新考虑键值存储对于字节可寻址的开放持久内存","authors":"Sung-Ming Wu, Li-Pin Chang","doi":"10.1145/3489517.3530535","DOIUrl":null,"url":null,"abstract":"Optane Persistent Memory (PM) is a pioneering solution to byte-addressable PM for commodity systems. However, the performance of Optane PM is highly workload-sensitive, rendering many prior designs of Key-Value (KV) store inefficient. To cope with this reality, we advocate rethinking KV store design for Optane PM. Our design follows a principle of Single-stream Writing with managed Multi-stream Reading (SWMR): Incoming KV pairs are written to PM through a single write stream and managed by an ordered index in DRAM. Through asynchronously sorting and rewriting large sets of KV pairs, range queries are handled with a managed number of concurrent streams. YCSB results show that our design improved upon existing ones by 116% and 21% for write-only throughput and read-write throughput, respectively.","PeriodicalId":373005,"journal":{"name":"Proceedings of the 59th ACM/IEEE Design Automation Conference","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Rethinking key-value store for byte-addressable optane persistent memory\",\"authors\":\"Sung-Ming Wu, Li-Pin Chang\",\"doi\":\"10.1145/3489517.3530535\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Optane Persistent Memory (PM) is a pioneering solution to byte-addressable PM for commodity systems. However, the performance of Optane PM is highly workload-sensitive, rendering many prior designs of Key-Value (KV) store inefficient. To cope with this reality, we advocate rethinking KV store design for Optane PM. Our design follows a principle of Single-stream Writing with managed Multi-stream Reading (SWMR): Incoming KV pairs are written to PM through a single write stream and managed by an ordered index in DRAM. Through asynchronously sorting and rewriting large sets of KV pairs, range queries are handled with a managed number of concurrent streams. YCSB results show that our design improved upon existing ones by 116% and 21% for write-only throughput and read-write throughput, respectively.\",\"PeriodicalId\":373005,\"journal\":{\"name\":\"Proceedings of the 59th ACM/IEEE Design Automation Conference\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 59th ACM/IEEE Design Automation Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3489517.3530535\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 59th ACM/IEEE Design Automation Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3489517.3530535","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Rethinking key-value store for byte-addressable optane persistent memory
Optane Persistent Memory (PM) is a pioneering solution to byte-addressable PM for commodity systems. However, the performance of Optane PM is highly workload-sensitive, rendering many prior designs of Key-Value (KV) store inefficient. To cope with this reality, we advocate rethinking KV store design for Optane PM. Our design follows a principle of Single-stream Writing with managed Multi-stream Reading (SWMR): Incoming KV pairs are written to PM through a single write stream and managed by an ordered index in DRAM. Through asynchronously sorting and rewriting large sets of KV pairs, range queries are handled with a managed number of concurrent streams. YCSB results show that our design improved upon existing ones by 116% and 21% for write-only throughput and read-write throughput, respectively.