SharedDB: Killing One Thousand Queries With One Stone

被引：66

作者：

Giannikis, Georgios ^{[1
]}

Alonso, Gustavo ^{[1
]}

Kossmann, Donald ^{[1
]}

机构：

[1] Swiss Fed Inst Technol, Dept Comp Sci, Syst Grp, Zurich, Switzerland

来源：

PROCEEDINGS OF THE VLDB ENDOWMENT | 2012年 / 5卷 / 06期

基金：

瑞士国家科学基金会;

关键词：

D O I：

10.14778/2168651.2168654

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Traditional database systems are built around the query-at-a-time model. This approach tries to optimize performance in a best-effort way. Unfortunately, best effort is not good enough for many modern applications. These applications require response time guarantees in high load situations. This paper describes the design of a new database architecture that is based on batching queries and shared computation across possibly hundreds of concurrent queries and updates. Performance experiments with the TPC-W benchmark show that the performance of our implementation, SharedDB, is indeed robust across a wide range of dynamic workloads.

引用

页码：526 / 537

页数：12

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