Energy Efficiency in Main-Memory Databases

被引：3
|
作者：
Stefan Noll
Henning Funke
Jens Teubner
机构：
[1] TU Dortmund University,Databases and Information Systems Group
来源：
Datenbank-Spektrum | 2017年 / 17卷 / 3期
关键词：
Database Algorithms; Limited Clock Frequency; Database Workloads; Dynamic Voltage And Frequency Scaling (DVFS); Microbenchmarks;
D O I：
10.1007/s13222-017-0262-9
中图分类号：
学科分类号：
摘要：
As the operating costs of today’s data centres continue to increase and processor manufacturers are forced to meet thermal design power constraints when designing new hardware, the energy efficiency of a main-memory database management system becomes more and more important. Plus, lots of database workloads are more memory-intensive than compute-intensive, which results in computing power being unused and wasted. This can become a problem because wasting computing also means wasting electrical power.
引用
收藏
页码：223 / 232
页数：9
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