TPC releases new benchmark: TPC-C
ACM SIGMETRICS Performance Evaluation Review
Analysis of dynamic voltage/frequency scaling in chip-multiprocessors
ISLPED '07 Proceedings of the 2007 international symposium on Low power electronics and design
Database servers tailored to improve energy efficiency
SETMDM '08 Proceedings of the 2008 EDBT workshop on Software engineering for tailor-made data management
Proceedings of the VLDB Endowment
The Claremont report on database research
ACM SIGMOD Record
Tracking the power in an enterprise decision support system
Proceedings of the 14th ACM/IEEE international symposium on Low power electronics and design
Energy-efficient scheduling of a real-time task on DVFS-enabled multi-cores
Proceedings of the 2009 International Conference on Hybrid Information Technology
A power consumption analysis of decision support systems
Proceedings of the first joint WOSP/SIPEW international conference on Performance engineering
Blackbox prediction of the impact of DVFS on end-to-end performance of multitier systems
ACM SIGMETRICS Performance Evaluation Review
Analyzing the energy efficiency of a database server
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Self-adaptive on-chip system based on cross-layer adaptation approach
International Journal of Reconfigurable Computing
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Power consumption in data centers has been growing remarkably recent years, and power saving of their servers is essential. For power saving of these servers, power saving of an online transaction processing (OLTP) systems, which are major applications in data centers, is important. The OLTP system consumes relatively large amount of power because it is often equipped with a lot of computing and storage resources. Its power saving is difficult because it is required to meet a service level agreement (SLA), and few power saving technologies have been proposed so far. In this paper, we proposed an application-aware power saving for OLTP in a multicore environment. Our proposed methodology aims to save power consumption of OLTP systems by dynamically scaling the operating frequency of processors based on response time observation. Response time is often an important metric of SLA. Application-aware power saving enables power saving in such systems subject to SLAs. In our experimental evaluations using industrial standard benchmark TPC-C and real server workloads, 7.6% of total power consumption was saved. This reduction corresponds to 1000kJ a day in a typical entry level server.