{"title":"USENIX FAST 2022专题介绍","authors":"Hildebrand Dean, Donald Porter","doi":"10.1145/3564770","DOIUrl":null,"url":null,"abstract":". This paper presents a detailed investigation and innovative solu-tion for reducing metadata overheads in persistent memory file systems. The authors show that by representing each file as a contiguous region of virtual memory, lookup performance in the file system’s indexes can improve real world workloads such as LevelDB by up to 3.6 × over existing solutions.","PeriodicalId":49113,"journal":{"name":"ACM Transactions on Storage","volume":"18 1","pages":"1 - 2"},"PeriodicalIF":2.1000,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Introduction to the Special Section on USENIX FAST 2022\",\"authors\":\"Hildebrand Dean, Donald Porter\",\"doi\":\"10.1145/3564770\",\"DOIUrl\":null,\"url\":null,\"abstract\":\". This paper presents a detailed investigation and innovative solu-tion for reducing metadata overheads in persistent memory file systems. The authors show that by representing each file as a contiguous region of virtual memory, lookup performance in the file system’s indexes can improve real world workloads such as LevelDB by up to 3.6 × over existing solutions.\",\"PeriodicalId\":49113,\"journal\":{\"name\":\"ACM Transactions on Storage\",\"volume\":\"18 1\",\"pages\":\"1 - 2\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2022-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Transactions on Storage\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1145/3564770\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Storage","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3564770","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
Introduction to the Special Section on USENIX FAST 2022
. This paper presents a detailed investigation and innovative solu-tion for reducing metadata overheads in persistent memory file systems. The authors show that by representing each file as a contiguous region of virtual memory, lookup performance in the file system’s indexes can improve real world workloads such as LevelDB by up to 3.6 × over existing solutions.
期刊介绍:
The ACM Transactions on Storage (TOS) is a new journal with an intent to publish original archival papers in the area of storage and closely related disciplines. Articles that appear in TOS will tend either to present new techniques and concepts or to report novel experiences and experiments with practical systems. Storage is a broad and multidisciplinary area that comprises of network protocols, resource management, data backup, replication, recovery, devices, security, and theory of data coding, densities, and low-power. Potential synergies among these fields are expected to open up new research directions.