Changing Engines in Midstream: A Java Stream Computational Model for Big Data Processing
Summary: Introduces DistributableStream, extending Java 8 Streams to support federated, multi-engine query execution over Local, Hadoop MR, and Oracle Coherence. Pipelined stages may run on different engines and switch midstream, yielding materialized results and enabling pluggable new engines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xueyuan Su
- 2. Garret Swart
- 3. Brian Goetz
- 4. Brian Oliver
- 5. Paul Sandoz
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,807 | Upsortable: Programming Top-K Queries Over Data Streams | 2017 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
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| Overall Rank | Paper | Year | Venue | Pagerank |
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| 4,132 | Advanced Join Strategies for Large-Scale Distributed Computation | 2014 | VLDB | 6.4241067e-05 |
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| 10,967 | Low-Latency Adaptive Distributed Stream Join System Based on a Flexible Join Model | 2024 | SIGMOD | 4.1945683e-05 |
| 4,488 | Analyzing Efficient Stream Processing on Modern Hardware | 2019 | VLDB | 6.145117e-05 |