Energy Efficiency in Main-Memory Databases
Title
Energy Efficiency in Main-Memory Databases
Author
Stefan Noll
Published
Proc. Datenbanksysteme für Business, Technologie und Web (BTW), Studierendenprogramm, Stuttgart, Germany, March 2017
Download
Abstract
As the operating costs of today's data centres continue to increase and processor manufacturers are forced to meet thermal design power constraints, the energy efficiency of a main-memory database management system becomes more and more important. In this paper, we experimentally study the impact of reducing the clock frequency of the processor on the energy efficiency of common database algorithms such as scans, simple aggregations, simple hash joins and state-of- the-art join algorithms. We stress the fundamental trade-off between peak performance and energy efficiency, as opposed to the established race-to-idle strategy. Ultimately, we learn that database workloads behave considerably different than other workload types and that reducing the computing power e.g. by limiting the clock frequency can significantly improve energy efficiency.
Notes
This paper received the Best Student Paper Award.
Project
Energy Awareness in Database Algorithms and Systems (SFB 876, A2)