Piranha: Optimizing Short Jobs in Hadoop
Summary: Piranha targets Hadoop’s overlooked short, latency-sensitive warehouse queries amid batch workloads. Deployable without modifying Hadoop, it exploits production-derived short-job characteristics to cut response times by up to 71% without affecting large jobs. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Khaled Elmeleegy (Turn Inc.)
BibTeX Citation
@article{elmeleegy_vldb13,
title = {{Piranha: Optimizing Short Jobs in Hadoop}},
author = {Elmeleegy, Khaled},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {11},
pages = {985--996},
doi = {10.14778/2536222.2536227},
url = {https://doi.org/10.14778/2536222.2536227},
year = {2013}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,360 | Kodiak: Leveraging Materialized Views For Very Low-Latency Analytics Over High-Dimensional Web-Scale Data | 2016 | VLDB | 5.5427171e-05 |
| 9,307 | SpongeFiles: Mitigating Data Skew in MapReduce Using Distributed Memory | 2014 | SIGMOD | 5.197526e-05 |
| 11,714 | QaaD (Query-as-a-Data): Scalable Execution of Massive Number of Small Queries in Spark | 2023 | SIGMOD | 4.9793485e-05 |
| 11,848 | Juggler: Autonomous Cost Optimization and Performance Prediction of Big Data Applications | 2022 | SIGMOD | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6 | Pig Latin: A Not-So-Foreign Language for Data Processing | 2008 | SIGMOD | 0.001052036 |
| 31 | Hive - A Warehousing Solution Over a Map-Reduce Framework | 2009 | VLDB | 0.00049839909 |
| 49 | Dremel: Interactive Analysis of Web-Scale Datasets | 2010 | VLDB | 0.00043160717 |
| 120 | HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads | 2009 | VLDB | 0.000311132 |
| 432 | Shark: SQL and Rich Analytics at Scale | 2013 | SIGMOD | 0.00018339357 |
| 673 | Hadoop++: Making a Yellow Elephant Run Like a Cheetah (Without It Even Noticing) | 2010 | VLDB | 0.0001488755 |
| 876 | Tenzing: A SQL Implementation On The MapReduce Framework | 2011 | VLDB | 0.00013309176 |
| 1,466 | The Performance of MapReduce: An In-depth Study | 2010 | VLDB | 0.00010569837 |
| 1,810 | Distributed Data-Parallel Computing Using a High-Level Programming Language | 2009 | SIGMOD | 9.5892079e-05 |
| 1,837 | Cheetah: A High Performance, Custom Data Warehouse on Top of MapReduce | 2010 | VLDB | 9.5350058e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 12,424 | FP-Hadoop: Efficient Execution of Parallel Jobs Over Skewed Data | 2015 | VLDB |
| 2 | 1,837 | Cheetah: A High Performance, Custom Data Warehouse on Top of MapReduce | 2010 | VLDB |
| 3 | 13,894 | Job Scheduling with Minimizing Data Communication Costs | 2015 | SIGMOD |
| 4 | 12,447 | Shared Execution of Recurring Workloads in MapReduce | 2015 | VLDB |
| 5 | 12,589 | Optimization Strategies for A/B Testing on HADOOP | 2013 | VLDB |
| 6 | 9,816 | Supporting Scalable Analytics with Latency Constraints | 2015 | VLDB |
| 7 | 2,173 | Efficient Processing of Data Warehousing Queries in a Split Execution Environment | 2011 | SIGMOD |
| 8 | 673 | Hadoop++: Making a Yellow Elephant Run Like a Cheetah (Without It Even Noticing) | 2010 | VLDB |
| 9 | 3,216 | Multi-Query Optimization in MapReduce Framework | 2014 | VLDB |
| 10 | 1,466 | The Performance of MapReduce: An In-depth Study | 2010 | VLDB |