{"title":"临时数据库环境与磁盘块大小之间的关系","authors":"Michal Kvet","doi":"10.1109/Informatics57926.2022.10083452","DOIUrl":null,"url":null,"abstract":"Temporal databases are used to monitor states in the object, attribute, or group granularity. Performance of the data retrieval is a critical requirement, consisting of relevant data block identification, loading, and tuple extraction. Instance memory loading must always take the whole block. This paper deals with the impact of block size on the performance of temporal databases, by pointing to block fragmentation, expansion, and shrinking. It also points to the definition of block migration, if the tuple after the Update operation does not fit the original block.","PeriodicalId":101488,"journal":{"name":"2022 IEEE 16th International Scientific Conference on Informatics (Informatics)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Relation between the Temporal Database Environment and Disc Block Size\",\"authors\":\"Michal Kvet\",\"doi\":\"10.1109/Informatics57926.2022.10083452\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Temporal databases are used to monitor states in the object, attribute, or group granularity. Performance of the data retrieval is a critical requirement, consisting of relevant data block identification, loading, and tuple extraction. Instance memory loading must always take the whole block. This paper deals with the impact of block size on the performance of temporal databases, by pointing to block fragmentation, expansion, and shrinking. It also points to the definition of block migration, if the tuple after the Update operation does not fit the original block.\",\"PeriodicalId\":101488,\"journal\":{\"name\":\"2022 IEEE 16th International Scientific Conference on Informatics (Informatics)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 16th International Scientific Conference on Informatics (Informatics)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/Informatics57926.2022.10083452\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 16th International Scientific Conference on Informatics (Informatics)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Informatics57926.2022.10083452","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Relation between the Temporal Database Environment and Disc Block Size
Temporal databases are used to monitor states in the object, attribute, or group granularity. Performance of the data retrieval is a critical requirement, consisting of relevant data block identification, loading, and tuple extraction. Instance memory loading must always take the whole block. This paper deals with the impact of block size on the performance of temporal databases, by pointing to block fragmentation, expansion, and shrinking. It also points to the definition of block migration, if the tuple after the Update operation does not fit the original block.
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