A Performance Study of Big Data on Small Nodes
Summary: Big Data on small nodes vs big servers—ARM big.LITTLE vs Xeon for Hadoop MR, MySQL, Shark, with energy, time and cost metrics. No universal winner: I/O-heavy MR favors Xeon; DB queries favor ARM; CPU-intensive MR ~4× cheaper on ARM with minor tweaks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Dumitrel Loghin (National University of Singapore)
- 2. Bogdan Marius Tudor (National University of Singapore)
- 3. Hao Zhang (National University of Singapore)
- 4. Beng Chin Ooi (National University of Singapore)
- 5. Yong Meng Teo (National University of Singapore)
BibTeX Citation
@article{loghin_vldb15,
title = {{A Performance Study of Big Data on Small Nodes}},
author = {Loghin, Dumitrel and Tudor, Bogdan Marius and Zhang, Hao and Ooi, Beng Chin and Teo, Yong Meng},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {7},
pages = {762--773},
doi = {10.14778/2752939.2752945},
url = {https://doi.org/10.14778/2752939.2752945},
year = {2015}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,039 | Energy Elasticity on Heterogeneous Hardware using Adaptive Resource Reconfiguration LIVE | 2016 | SIGMOD | 5.093636e-05 |
| 12,080 | An Experimental Evaluation of Datacenter Workloads On Low-Power Embedded Micro Servers | 2016 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 425 | Shark: SQL and Rich Analytics at Scale | 2013 | SIGMOD | 0.00018704491 |
| 883 | Analyzing the Energy Efficiency of a Database Server | 2010 | SIGMOD | 0.00013421859 |
| 3,104 | Energy Management for MapReduce Clusters | 2010 | VLDB | 7.7552953e-05 |
| 7,586 | One DBMS for all: the Brawny Few and the Wimpy Crowd | 2014 | SIGMOD | 5.5908719e-05 |
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