Title | ||
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An architecture for supporting batch query and online service in Very Large Database systems |
Abstract | ||
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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 |
Year | DOI | Venue |
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2006 | 10.1109/ICEBE.2006.21 | ICEBE |
Keywords | Field | DocType |
increased performance,batch query,large database system,real-time online transaction,very large database system,telecommunications industry,transaction response time,system performance,batch server,online service,telecommunication services,large db,telecommunication computing,distributed database,very large databases,exponential increase,db model,distributed databases,query processing,very large database systems,very large database,real time | Data mining,Architecture,Computer science,Response time,Very large database,Online aggregation,Throughput,Distributed database,Database transaction,Telecommunications service | Conference |
ISBN | Citations | PageRank |
0-7695-2645-4 | 1 | 0.38 |
References | Authors | |
1 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jung-Yeon Yang | 1 | 15 | 2.03 |
Ig-hoon Lee | 2 | 53 | 5.43 |
Ok-Ran Jeong | 3 | 181 | 22.02 |
Junyoung Song | 4 | 40 | 11.42 |
Chul-Min Lee | 5 | 1 | 0.38 |
Sang-goo Lee | 6 | 832 | 151.04 |