{"title":"主存数据库恢复技术的分类和比较","authors":"M. Eich","doi":"10.1109/ICDE.1987.7272398","DOIUrl":null,"url":null,"abstract":"The declining cost of main memory and need for high performance database systems have recently inspired research into systems with massive amounts of memory and the ability to store complete databases in main memory It is recognized that in this framework the issues concerned with efficient database recovery are more complex than in traditional DBMS systems. In this paper we define a classification method for main memory database (MMDB) recovery techniques and discuss the results of a performance analysis conducted examining the different classes.","PeriodicalId":145433,"journal":{"name":"1987 IEEE Third International Conference on Data Engineering","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1987-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"43","resultStr":"{\"title\":\"A classification and comparison of main memory database recovery techniques\",\"authors\":\"M. Eich\",\"doi\":\"10.1109/ICDE.1987.7272398\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The declining cost of main memory and need for high performance database systems have recently inspired research into systems with massive amounts of memory and the ability to store complete databases in main memory It is recognized that in this framework the issues concerned with efficient database recovery are more complex than in traditional DBMS systems. In this paper we define a classification method for main memory database (MMDB) recovery techniques and discuss the results of a performance analysis conducted examining the different classes.\",\"PeriodicalId\":145433,\"journal\":{\"name\":\"1987 IEEE Third International Conference on Data Engineering\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1987-02-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"43\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1987 IEEE Third International Conference on Data Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.1987.7272398\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1987 IEEE Third International Conference on Data Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.1987.7272398","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A classification and comparison of main memory database recovery techniques
The declining cost of main memory and need for high performance database systems have recently inspired research into systems with massive amounts of memory and the ability to store complete databases in main memory It is recognized that in this framework the issues concerned with efficient database recovery are more complex than in traditional DBMS systems. In this paper we define a classification method for main memory database (MMDB) recovery techniques and discuss the results of a performance analysis conducted examining the different classes.
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