High-performance Database Integrating Transaction and Analysis

Autor:	Guoquan Yuan, Aiguo Teng, Ming-ming Zhang, Haoxiang Dou, Hui-yu Wang
Rok vydání:	2018
Předmět:	Structure (mathematical logic) Database Computer science Online analytical processing InformationSystems_DATABASEMANAGEMENT Online transaction processing Performance improvement computer.software_genre computer Database transaction Scan line
Zdroj:	2018 International Computers, Signals and Systems Conference (ICOMSSC).
DOI:	10.1109/icomssc45026.2018.8941810
Popis:	This paper first introduces the performance dilemma faced by OLAP database, and then combines the operational characteristics of OLTP database, innovatively adopts loosely coupled distributed architecture, designs a high-performance database integrating transaction and analysis (DITAA), analyzes its structure and data, and queries the number of scan lines and experiment to verify the performance improvement of the high-performance database integrating transaction and analysis.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a6dbf48318499201a990e48f3713d34a https://doi.org/10.1109/icomssc45026.2018.8941810 Zobrazit plný text záznamu