Name
Abstract | ||
|---|---|---|
Enterprises rely on decision support systems to influence critical business choices. At the same time, IT-related power costs are growing and are a key concern for enterprise executives. Yet, there is little work to date characterizing the power use of decision support systems. Towards this end, we present the first holistic measurements and analysis of an audit-class system running the TPC-H decision support benchmark at the 300GB scale. We first provide a breakdown of the system's power use into its core hardware components. We then explore its power-performance tradeoffs. This investigation shows that there is ample room to improve its energy use without sacrificing much performance. Moreover, the most energy-efficient configuration depends on the workload. These results suggest that, going forward, database software has an important role to play in optimizing for energy use. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1594233.1594295 | ISLPED |
Keywords | Field | DocType |
ample room,power use,decision support system,energy use,core hardware component,critical business choice,enterprise decision support system,audit-class system,it-related power cost,database software,tpc-h decision support benchmark,energy efficiency,decision support,energy,power | Workload,Computer science,Efficient energy use,Decision support system,Real-time computing | Conference |
Citations | PageRank | References |
14 | 1.07 | 14 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Justin Meza | 1 | 419 | 18.08 |
| Mehul A. Shah | 2 | 3547 | 317.66 |
| Parthasarathy Ranganathan | 3 | 3316 | 230.61 |
| Mike Fitzner | 4 | 14 | 1.07 |
| Judson Veazey | 5 | 14 | 1.74 |