OceanRT: Real-Time Analytics over Large Temporal Data
Summary: OceanRT enables real-time analytics over large temporal data in the cloud (5TB/day call logs). It uses interconnected Access Query Engines (AQEs) and a temporal-local storage scheme to boost locality, delivering up to 10x–200x speedups vs Impala/Shark/Hive and ad hoc HiveQL support. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shiming Zhang (Huawei)
- 2. Yin Yang (Advanced Digital Sciences Center)
- 3. Wei Fan (Huawei)
- 4. Liang Lan (Huawei)
- 5. Mingxuan Yuan (Huawei)
BibTeX Citation
@inproceedings{zhang_sigmod14,
title = {{OceanRT: Real-Time Analytics over Large Temporal Data}},
author = {Zhang, Shiming and Yang, Yin and Fan, Wei and Lan, Liang and Yuan, Mingxuan},
series = {{SIGMOD} '14},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2588555.2594513},
url = {https://dl.acm.org/doi/10.1145/2588555.2594513},
year = {2014}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,647 | Rock: Cleaning Data by Embedding ML in Logic Rules | 2024 | SIGMOD | 5.2430158e-05 |
| 12,203 | Design and Implementation of a Real-Time Interactive Analytics System for Large Spatio-Temporal Data | 2014 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 32 | Hive - A Warehousing Solution Over a Map-Reduce Framework | 2009 | VLDB | 0.00050111008 |
| 51 | Dremel: Interactive Analysis of Web-Scale Datasets | 2010 | VLDB | 0.0004291425 |
| 120 | HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads | 2009 | VLDB | 0.00031680027 |
| 607 | F1: A Distributed SQL Database That Scales | 2013 | VLDB | 0.00015800238 |
| 1,593 | F1 – The Fault-Tolerant Distributed RDBMS Supporting Google's Ad Business | 2012 | SIGMOD | 0.00010252961 |
| 1,739 | Split Query Processing in Polybase | 2013 | SIGMOD | 9.8814935e-05 |
| 2,159 | Efficient Processing of Data Warehousing Queries in a Split Execution Environment | 2011 | SIGMOD | 9.061086e-05 |
| 2,207 | Shark: Fast Data Analysis Using Coarse-grained Distributed Memory | 2012 | SIGMOD | 8.9565862e-05 |
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