Shared Execution of Recurring Workloads in MapReduce
Summary: Helix, a scalable multi-query sharing engine for recurring MapReduce workloads with SLAs; sliced window-alignment enables sharing without extra I/O. It pairs a cost/benefit sharing model with SLA-aware scheduling; real-world experiments show order-of-magnitude gains over state-of-the-art. (summarized by gpt-5-nano on Feb 09 2026)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 179 | Efficient and Extensible Algorithms for Multi Query Optimization | 2000 | SIGMOD | 0.00037672155 |
| 947 | MRShare: Sharing Across Multiple Queries in MapReduce | 2010 | VLDB | 0.00015114576 |
| 1,788 | On-the-Fly Sharing for Streamed Aggregation | 2006 | SIGMOD | 0.00010555742 |
| 2,205 | ReStore: Reusing Results of MapReduce Jobs | 2012 | VLDB | 9.2920002e-05 |
| 2,658 | Data Warehousing and Analytics Infrastructure at Facebook | 2010 | SIGMOD | 8.3607429e-05 |
| 2,817 | Recurring Job Optimization in Scope | 2012 | SIGMOD | 8.0677653e-05 |
| 2,925 | Shared Workload Optimization | 2014 | VLDB | 7.888494e-05 |
| 3,703 | Multi-Query Optimization in MapReduce Framework | 2014 | VLDB | 6.8289978e-05 |
| 4,857 | The "Big Data" Ecosystem at LinkedIn | 2013 | SIGMOD | 5.8736144e-05 |
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