{"title":"物理- nmsi:用于可扩展快照隔离的高效一致快照","authors":"Alejandro Z. Tomsic, Tyler Crain, M. Shapiro","doi":"10.1145/2911151.2911166","DOIUrl":null,"url":null,"abstract":"Non-Monotonic Snapshot Isolation (NMSI), a variant of the widely deployed Snapshot Isolation (SI), aims at improving scalability by relaxing snapshots. In contrast to SI, NMSI snapshots are causally consistent, which allows for more parallelism and a reduced abort rate. This work documents the design of PhysiCS-NMSI, a transactional protocol implementing NMSI in a partitioned data store. It is the first protocol to rely on a single scalar taken from a physical clock for tracking causal dependencies and building causally consistent snapshots. Its commit protocol ensures atomicity and the absence of write-write conflicts. We argue that PhysiCS-NMSI approach increases concurrency and reduces abort rate and metadata overhead as compared to state-of-art systems.","PeriodicalId":259835,"journal":{"name":"Proceedings of the 2nd Workshop on the Principles and Practice of Consistency for Distributed Data","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"PhysiCS-NMSI: efficient consistent snapshots for scalable snapshot isolation\",\"authors\":\"Alejandro Z. Tomsic, Tyler Crain, M. Shapiro\",\"doi\":\"10.1145/2911151.2911166\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Non-Monotonic Snapshot Isolation (NMSI), a variant of the widely deployed Snapshot Isolation (SI), aims at improving scalability by relaxing snapshots. In contrast to SI, NMSI snapshots are causally consistent, which allows for more parallelism and a reduced abort rate. This work documents the design of PhysiCS-NMSI, a transactional protocol implementing NMSI in a partitioned data store. It is the first protocol to rely on a single scalar taken from a physical clock for tracking causal dependencies and building causally consistent snapshots. Its commit protocol ensures atomicity and the absence of write-write conflicts. We argue that PhysiCS-NMSI approach increases concurrency and reduces abort rate and metadata overhead as compared to state-of-art systems.\",\"PeriodicalId\":259835,\"journal\":{\"name\":\"Proceedings of the 2nd Workshop on the Principles and Practice of Consistency for Distributed Data\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd Workshop on the Principles and Practice of Consistency for Distributed Data\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2911151.2911166\",\"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 2nd Workshop on the Principles and Practice of Consistency for Distributed Data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2911151.2911166","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
PhysiCS-NMSI: efficient consistent snapshots for scalable snapshot isolation
Non-Monotonic Snapshot Isolation (NMSI), a variant of the widely deployed Snapshot Isolation (SI), aims at improving scalability by relaxing snapshots. In contrast to SI, NMSI snapshots are causally consistent, which allows for more parallelism and a reduced abort rate. This work documents the design of PhysiCS-NMSI, a transactional protocol implementing NMSI in a partitioned data store. It is the first protocol to rely on a single scalar taken from a physical clock for tracking causal dependencies and building causally consistent snapshots. Its commit protocol ensures atomicity and the absence of write-write conflicts. We argue that PhysiCS-NMSI approach increases concurrency and reduces abort rate and metadata overhead as compared to state-of-art systems.