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 |
|---|---|---|---|---|
| 7,238 | Kodiak: Leveraging Materialized Views For Very Low-Latency Analytics Over High-Dimensional Web-Scale Data | 2016 | VLDB | 5.664642e-05 |
| 9,137 | SpongeFiles: Mitigating Data Skew in MapReduce Using Distributed Memory | 2014 | SIGMOD | 5.3162511e-05 |
| 11,399 | QaaD (Query-as-a-Data): Scalable Execution of Massive Number of Small Queries in Spark | 2023 | SIGMOD | 5.093636e-05 |
| 11,539 | Juggler: Autonomous Cost Optimization and Performance Prediction of Big Data Applications | 2022 | SIGMOD | 5.093636e-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 | 0.0010686205 |
| 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 |
| 425 | Shark: SQL and Rich Analytics at Scale | 2013 | SIGMOD | 0.00018704491 |
| 660 | Hadoop++: Making a Yellow Elephant Run Like a Cheetah (Without It Even Noticing) | 2010 | VLDB | 0.00015198804 |
| 872 | Tenzing: A SQL Implementation On The MapReduce Framework | 2011 | VLDB | 0.00013486409 |
| 1,436 | The Performance of MapReduce: An In-depth Study | 2010 | VLDB | 0.00010797443 |
| 1,791 | Cheetah: A High Performance, Custom Data Warehouse on Top of MapReduce | 2010 | VLDB | 9.7470504e-05 |
| 1,794 | Distributed Data-Parallel Computing Using a High-Level Programming Language | 2009 | SIGMOD | 9.7399162e-05 |
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| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 12,131 | FP-Hadoop: Efficient Execution of Parallel Jobs Over Skewed Data | 2015 | VLDB |
| 2 | 1,791 | Cheetah: A High Performance, Custom Data Warehouse on Top of MapReduce | 2010 | VLDB |
| 3 | 13,581 | Job Scheduling with Minimizing Data Communication Costs | 2015 | SIGMOD |
| 4 | 12,156 | Shared Execution of Recurring Workloads in MapReduce | 2015 | VLDB |
| 5 | 12,298 | Optimization Strategies for A/B Testing on HADOOP | 2013 | VLDB |
| 6 | 9,640 | Supporting Scalable Analytics with Latency Constraints | 2015 | VLDB |
| 7 | 660 | Hadoop++: Making a Yellow Elephant Run Like a Cheetah (Without It Even Noticing) | 2010 | VLDB |
| 8 | 2,159 | Efficient Processing of Data Warehousing Queries in a Split Execution Environment | 2011 | SIGMOD |
| 9 | 3,163 | Multi-Query Optimization in MapReduce Framework | 2014 | VLDB |
| 10 | 1,436 | The Performance of MapReduce: An In-depth Study | 2010 | VLDB |