WattDB: an energy-proportional cluster of wimpy nodes

Authors:
Daniel Schall;Volker Hudlet
Affiliations:
TU Kaiserslautern, Kaiserslautern, Germany;TU Kaiserslautern, Kaiserslautern, Germany
Venue:
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Year:
2011

Citing 4
Cited 0

The Case for Energy-Proportional Computing

Computer
FAWN: a fast array of wimpy nodes

Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles
Low-power amdahl-balanced blades for data intensive computing

ACM SIGOPS Operating Systems Review
Analyzing the energy efficiency of a database server

Proceedings of the 2010 ACM SIGMOD International Conference on Management of data

Quantified Score

Hi-index	0.00

Visualization

Abstract

The constant growth of data in all businesses leads to bigger database servers. While peak load times require fast and heavyweight hardware to guarantee performance, idle times are a waste of energy and money. Todays DBMSs have the ability to cluster several servers for performance and fault tolerance. Nevertheless, they do not support dynamic powering of the cluster's nodes based on the current workload. In this demo, we propose a newly developed DBMS running on clustered commodity hardware, which is able to dynamically power nodes. The demo allows the user to interact with the DBMS and adjust workloads, while the cluster's reaction is shown in real-time.