Abstract | ||
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In this paper, we propose a toolkit called EDOM facilitating the evaluation and optimization of energy-efficient multicore-based database systems. Two core components in EDOM are a benchmarking toolkit and a multicore manager to improve energy efficiency of database systems running on multicore servers. At the heart of the multicore manager is a memory usage model that estimates memory utilization from queries and database characteristics (e.g., table and record size). We make use of the proposed benchmark toolkit to quantitatively evaluate the performance of our novel multicore manager. Our extensive experimental results show that our multicore manager in EDOM provides a simple yet powerful solution for improving energy efficiency of database applications running on multicore servers. |
Year | DOI | Venue |
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2016 | 10.1109/IGCC.2016.7892603 | 2016 Seventh International Green and Sustainable Computing Conference (IGSC) |
Keywords | Field | DocType |
Energy efficiency,database operations,multicore processors,benchmarks,data centers,database applications | Computer architecture,Computer science,Efficient energy use,Server,Energy consumption,Usage model,Multi-core processor,Operating system,Benchmark (computing),Benchmarking,Database | Conference |
ISBN | Citations | PageRank |
978-1-5090-5118-2 | 0 | 0.34 |
References | Authors | |
10 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yi Zhou | 1 | 230 | 32.97 |
Mohammed I. Alghamdi | 2 | 3 | 1.05 |
Shubbhi Taneja | 3 | 2 | 2.72 |
Wei-Shinn Ku | 4 | 775 | 69.22 |
Xiao Qin | 5 | 1836 | 125.69 |