Jung-Yeon Yang, Ig-hoon Lee, O. Jeong, Jun-Young Song, Chulki Lee, Sang-goo Lee
{"title":"An architecture for supporting batch query and online service in Very Large Database systems","authors":"Jung-Yeon Yang, Ig-hoon Lee, O. Jeong, Jun-Young Song, Chulki Lee, Sang-goo Lee","doi":"10.1109/ICEBE.2006.21","DOIUrl":null,"url":null,"abstract":"The unprecedented growth of the telecommunications industry and exponential increase in real-time online transactions has created the need for a database (DB) system capable of managing massive amounts of data. However, current very large DB (VLDB) systems can become overwhelmed, and if, for example, a batch query is made while a transaction is being executed, the online service may become limited or system performance may decrease. We propose a partially distributed DB model to address this problem. The model partially separates a batch server, resulting in increased performances in transaction response time and throughput","PeriodicalId":439165,"journal":{"name":"2006 IEEE International Conference on e-Business Engineering (ICEBE'06)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE International Conference on e-Business Engineering (ICEBE'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEBE.2006.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The unprecedented growth of the telecommunications industry and exponential increase in real-time online transactions has created the need for a database (DB) system capable of managing massive amounts of data. However, current very large DB (VLDB) systems can become overwhelmed, and if, for example, a batch query is made while a transaction is being executed, the online service may become limited or system performance may decrease. We propose a partially distributed DB model to address this problem. The model partially separates a batch server, resulting in increased performances in transaction response time and throughput