An Experimental Evaluation of Datacenter Workloads On Low-Power Embedded Micro Servers
Summary: Evaluates sensor-class Intel Edison microserver clusters—not mobile-class alternatives—for datacenter web and MapReduce workloads. With tuned, utilization-fair comparisons, they deliver up to 3.5× better work per joule and near-linear web-service scaling despite coordination overhead. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Yiran Zhao (University of Illinois Urbana-Champaign)
- 2. Shen Li (University of Illinois Urbana-Champaign)
- 3. Shaohan Hu (University of Illinois Urbana-Champaign)
- 4. Hongwei Wang (University of Illinois Urbana-Champaign)
- 5. Shuochao Yao (University of Illinois Urbana-Champaign)
- 6. Huajie Shao (University of Illinois Urbana-Champaign)
- 7. Tarek Abdelzaher (University of Illinois Urbana-Champaign)
BibTeX Citation
@article{zhao_vldb16,
title = {{An Experimental Evaluation of Datacenter Workloads On Low-Power Embedded Micro Servers}},
author = {Zhao, Yiran and Li, Shen and Hu, Shaohan and Wang, Hongwei and Yao, Shuochao and Shao, Huajie and Abdelzaher, Tarek},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {9},
pages = {696--707},
doi = {10.14778/2947618.2947625},
url = {https://doi.org/10.14778/2947618.2947625},
year = {2016}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 922 | Data Processing on FPGAs | 2009 | VLDB | 0.00013207382 |
| 3,104 | Energy Management for MapReduce Clusters | 2010 | VLDB | 7.7552953e-05 |
| 3,501 | JouleSort: A Balanced Energy-Efficiency Benchmark | 2007 | SIGMOD | 7.3597311e-05 |
| 5,935 | Towards Energy-Efficient Database Cluster Design | 2012 | VLDB | 6.0361286e-05 |
| 6,127 | A Performance Study of Big Data on Small Nodes | 2015 | VLDB | 5.9668307e-05 |
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