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Supporting Scalable Analytics with Latency Constraints
Summary: Latency-aware analytics for big- and fast-data via mini-batch compute and shuffle. Model-driven resource allocation and scheduling to meet latency with throughput; Incremental Hadoop delivers sub-second latency and 2–5× throughput, beating Storm/Spark.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 10997
- Venue
- VLDB
- Year
- 2015
- Pagerank
- 4.3300131e-05
- Overall Rank
- 9,505 | 33.94%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 143 |
TelegraphCQ: Continuous Dataflow Processing for an Uncertain World |
2003 |
CIDR |
0.00041688468 |
| 191 |
The Design of the Borealis Stream Processing Engine |
2005 |
CIDR |
0.00035714897 |
| 287 |
Storm @Twitter |
2014 |
SIGMOD |
0.00028917909 |
| 314 |
MillWheel: Fault-Tolerant Stream Processing at Internet Scale |
2013 |
VLDB |
0.00028059664 |
| 776 |
Building a High-Level Dataflow System on top of Map-Reduce: The Pig Experience |
2009 |
VLDB |
0.00016765694 |
| 866 |
Profiling, What-if Analysis, and Cost-based Optimization of MapReduce Programs |
2011 |
VLDB |
0.00015771189 |
| 1,226 |
Integrating Scale Out and Fault Tolerance in Stream Processing using Operator State Management |
2013 |
SIGMOD |
0.00013168869 |
| 1,284 |
Photon: Fault-tolerant and Scalable Joining of Continuous Data Streams |
2013 |
SIGMOD |
0.00012820565 |
| 1,497 |
Apache Hadoop Goes Realtime at Facebook |
2011 |
SIGMOD |
0.00011668393 |
| 1,768 |
ParaTimer: A Progress Indicator for MapReduce DAGs |
2010 |
SIGMOD |
0.00010608933 |
| 2,406 |
Operator Scheduling in a Data Stream Manager* |
2003 |
VLDB |
8.8718534e-05 |
| 2,476 |
A Platform for Scalable One-Pass Analytics using MapReduce |
2011 |
SIGMOD |
8.6907971e-05 |
| 2,612 |
Muppet: MapReduce-Style Processing of Fast Data |
2012 |
VLDB |
8.4566845e-05 |
| 5,044 |
Massive Scale-out of Expensive Continuous Queries |
2011 |
VLDB |
5.7338982e-05 |
| 5,686 |
Staying FIT: Efficient Load Shedding Techniques for Distributed Stream Processing |
2007 |
VLDB |
5.3714896e-05 |
| 6,135 |
Fast Data in the Era of Big Data: Twitter's Real-Time Related Query Suggestion Architecture |
2013 |
SIGMOD |
5.1908958e-05 |
| 7,735 |
From a Stream of Relational Queries to Distributed Stream Processing |
2010 |
VLDB |
4.6599101e-05 |
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| Overall Rank |
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Venue |
Pagerank |
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| 6,631 |
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SIGMOD |
4.9805704e-05 |
| 2,340 |
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2011 |
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9.001663e-05 |
| 8,214 |
Spur: Mitigating Slow Instances in Large-Scale Streaming Pipelines |
2020 |
SIGMOD |
4.5524768e-05 |
| 5,373 |
Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing |
2022 |
VLDB |
5.5410059e-05 |
| 3,387 |
Analytics in Motion: High Performance Event-Processing AND Real-Time Analytics in the Same Database |
2015 |
SIGMOD |
7.1505623e-05 |
| 8,097 |
Parallelism-Optimizing Data Placement for Faster Data-Parallel Computations |
2023 |
VLDB |
4.5825634e-05 |
| 6,135 |
Fast Data in the Era of Big Data: Twitter's Real-Time Related Query Suggestion Architecture |
2013 |
SIGMOD |
5.1908958e-05 |
| 7,864 |
Operational Analytics Data Management Systems |
2016 |
VLDB |
4.6284093e-05 |
| 2,476 |
A Platform for Scalable One-Pass Analytics using MapReduce |
2011 |
SIGMOD |
8.6907971e-05 |