持久内存上的即时图形查询恢复

Proceedings of the 17th International Workshop on Data Management on New Hardware Pub Date : 2021-06-20 DOI:10.1145/3465998.3466011

Alexander Baumstark, Philipp Götze, M. Jibril, K. Sattler

{"title":"持久内存上的即时图形查询恢复","authors":"Alexander Baumstark, Philipp Götze, M. Jibril, K. Sattler","doi":"10.1145/3465998.3466011","DOIUrl":null,"url":null,"abstract":"Persistent memory (PMem) - also known as non-volatile memory (NVM) - offers new opportunities not only for the design of data structures and system architectures but also for failure recovery in databases. However, instant recovery can mean not only to bring the system up as fast as possible but also to continue long-running queries which have been interrupted by a system failure. In this work, we discuss how PMem can be utilized to implement query recovery for analytical graph queries. Furthermore, we investigate the trade-off between the overhead of managing the query state in PMem at query runtime as well as the recovery and restart costs.","PeriodicalId":183683,"journal":{"name":"Proceedings of the 17th International Workshop on Data Management on New Hardware","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Instant Graph Query Recovery on Persistent Memory\",\"authors\":\"Alexander Baumstark, Philipp Götze, M. Jibril, K. Sattler\",\"doi\":\"10.1145/3465998.3466011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Persistent memory (PMem) - also known as non-volatile memory (NVM) - offers new opportunities not only for the design of data structures and system architectures but also for failure recovery in databases. However, instant recovery can mean not only to bring the system up as fast as possible but also to continue long-running queries which have been interrupted by a system failure. In this work, we discuss how PMem can be utilized to implement query recovery for analytical graph queries. Furthermore, we investigate the trade-off between the overhead of managing the query state in PMem at query runtime as well as the recovery and restart costs.\",\"PeriodicalId\":183683,\"journal\":{\"name\":\"Proceedings of the 17th International Workshop on Data Management on New Hardware\",\"volume\":\"84 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 17th International Workshop on Data Management on New Hardware\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3465998.3466011\",\"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 17th International Workshop on Data Management on New Hardware","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3465998.3466011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

持久内存(PMem)——也称为非易失性内存(NVM)——不仅为数据结构和系统架构的设计提供了新的机会，而且还为数据库中的故障恢复提供了新的机会。然而，即时恢复不仅意味着尽可能快地启动系统，还意味着继续运行因系统故障而中断的长时间查询。在这项工作中，我们讨论了如何利用PMem来实现分析图查询的查询恢复。此外，我们还研究了在查询运行时在PMem中管理查询状态的开销以及恢复和重新启动成本之间的权衡。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Instant Graph Query Recovery on Persistent Memory

Persistent memory (PMem) - also known as non-volatile memory (NVM) - offers new opportunities not only for the design of data structures and system architectures but also for failure recovery in databases. However, instant recovery can mean not only to bring the system up as fast as possible but also to continue long-running queries which have been interrupted by a system failure. In this work, we discuss how PMem can be utilized to implement query recovery for analytical graph queries. Furthermore, we investigate the trade-off between the overhead of managing the query state in PMem at query runtime as well as the recovery and restart costs.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Proceedings of the 17th International Workshop on Data Management on New Hardware

自引率

0.00%

发文量