{"title":"数据记录:一种在持续活跃的raid中有效更新数据的方法","authors":"E. Gabber, H. F. Korth","doi":"10.1109/ICDE.1998.655770","DOIUrl":null,"url":null,"abstract":"RAIDs (Redundant Arrays of Independent Disks) are a set of disks organized to achieve parallel I/O to multiple disks and to provide tolerance of disk failures. RAIDs offer these advantages at the cost of additional space and additional disk I/O for writes. Previous methods of reducing this I/O overhead suffered from such problems as requiring periods during which data is reorganized and not available, destroying the physical locality of data, or weakening the RAID's fault-tolerance properties. We propose a new method called data logging which reduces the I/O overhead without requiring periodic downtime for reorganization. Instead, incremental maintenance can be performed concurrently with routine processing. This is particularly advantageous in applications requiring \"24/spl times/7\" uptime. Data logging preserves both physical locality of data and RAID fault tolerance. The major cost of our method is a moderate amount of nonvolatile RAM. This paper describes our method, as well as two schemes for efficient encoding of the information that must be stored in nonvolatile RAM.","PeriodicalId":264926,"journal":{"name":"Proceedings 14th International Conference on Data Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Data logging: a method for efficient data updates in constantly active RAIDs\",\"authors\":\"E. Gabber, H. F. Korth\",\"doi\":\"10.1109/ICDE.1998.655770\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"RAIDs (Redundant Arrays of Independent Disks) are a set of disks organized to achieve parallel I/O to multiple disks and to provide tolerance of disk failures. RAIDs offer these advantages at the cost of additional space and additional disk I/O for writes. Previous methods of reducing this I/O overhead suffered from such problems as requiring periods during which data is reorganized and not available, destroying the physical locality of data, or weakening the RAID's fault-tolerance properties. We propose a new method called data logging which reduces the I/O overhead without requiring periodic downtime for reorganization. Instead, incremental maintenance can be performed concurrently with routine processing. This is particularly advantageous in applications requiring \\\"24/spl times/7\\\" uptime. Data logging preserves both physical locality of data and RAID fault tolerance. The major cost of our method is a moderate amount of nonvolatile RAM. This paper describes our method, as well as two schemes for efficient encoding of the information that must be stored in nonvolatile RAM.\",\"PeriodicalId\":264926,\"journal\":{\"name\":\"Proceedings 14th International Conference on Data Engineering\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-02-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 14th International Conference on Data Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.1998.655770\",\"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 14th International Conference on Data Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.1998.655770","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data logging: a method for efficient data updates in constantly active RAIDs
RAIDs (Redundant Arrays of Independent Disks) are a set of disks organized to achieve parallel I/O to multiple disks and to provide tolerance of disk failures. RAIDs offer these advantages at the cost of additional space and additional disk I/O for writes. Previous methods of reducing this I/O overhead suffered from such problems as requiring periods during which data is reorganized and not available, destroying the physical locality of data, or weakening the RAID's fault-tolerance properties. We propose a new method called data logging which reduces the I/O overhead without requiring periodic downtime for reorganization. Instead, incremental maintenance can be performed concurrently with routine processing. This is particularly advantageous in applications requiring "24/spl times/7" uptime. Data logging preserves both physical locality of data and RAID fault tolerance. The major cost of our method is a moderate amount of nonvolatile RAM. This paper describes our method, as well as two schemes for efficient encoding of the information that must be stored in nonvolatile RAM.