Shared Execution of Recurring Workloads in MapReduce
Summary: Helix is a MapReduce engine for sharing execution across recurring queries over incrementally updated data, unlike prior ad-hoc/static-job methods. Sliced window alignment, cost/benefit planning, and SLA-aware scheduling improve query sharing and SLA satisfaction by up to an order of magnitude. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Chuan Lei (Worcester Polytechnic Institute)
- 2. Zhongfang Zhuang (Worcester Polytechnic Institute)
- 3. Elke A. Rundensteiner (Worcester Polytechnic Institute)
- 4. Mohamed Eltabakh (Worcester Polytechnic Institute)
BibTeX Citation
@article{lei_vldb15,
title = {{Shared Execution of Recurring Workloads in MapReduce}},
author = {Lei, Chuan and Zhuang, Zhongfang and Rundensteiner, Elke A. and Eltabakh, Mohamed},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {7},
pages = {714--725},
doi = {10.14778/2752939.2752941},
url = {https://doi.org/10.14778/2752939.2752941},
year = {2015}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 128 | Efficient and Extensible Algorithms for Multi Query Optimization | 2000 | SIGMOD | 0.0003072825 |
| 803 | MRShare: Sharing Across Multiple Queries in MapReduce | 2010 | VLDB | 0.00013899943 |
| 1,354 | On-the-Fly Sharing for Streamed Aggregation | 2006 | SIGMOD | 0.00011057534 |
| 1,883 | ReStore: Reusing Results of MapReduce Jobs | 2012 | VLDB | 9.5421713e-05 |
| 2,191 | Data Warehousing and Analytics Infrastructure at Facebook | 2010 | SIGMOD | 8.9780154e-05 |
| 2,276 | Shared Workload Optimization | 2014 | VLDB | 8.8196376e-05 |
| 3,163 | Multi-Query Optimization in MapReduce Framework | 2014 | VLDB | 7.6784171e-05 |
| 4,400 | Recurring Job Optimization in Scope | 2012 | SIGMOD | 6.7239302e-05 |
| 4,595 | The "Big Data" Ecosystem at LinkedIn | 2013 | SIGMOD | 6.6137084e-05 |
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