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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)

Paper ID
11183
Venue
VLDB
Year
2015
Pagerank
4.1905499e-05
Overall Rank
11,966 | 16.84%
DOI
-

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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
179 Efficient and Extensible Algorithms for Multi Query Optimization 2000 SIGMOD 0.00037637319
947 MRShare: Sharing Across Multiple Queries in MapReduce 2010 VLDB 0.00015112344
1,791 On-the-Fly Sharing for Streamed Aggregation 2006 SIGMOD 0.0001052731
2,211 ReStore: Reusing Results of MapReduce Jobs 2012 VLDB 9.2823037e-05
2,658 Data Warehousing and Analytics Infrastructure at Facebook 2010 SIGMOD 8.3634079e-05
2,928 Shared Workload Optimization 2014 VLDB 7.881485e-05
3,709 Multi-Query Optimization in MapReduce Framework 2014 VLDB 6.8211506e-05
4,772 Recurring Job Optimization in Scope 2012 SIGMOD 5.9280555e-05
4,859 The "Big Data" Ecosystem at LinkedIn 2013 SIGMOD 5.8680444e-05
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