Massive Scale-out of Expensive Continuous Queries
Summary: Introduces Parasplit, a parallel stream-splitting operator supporting customized tuple partitioning and replication for expensive continuous queries. A cost-model-driven heuristic makes splitting network-bound and energy-efficient, achieving 10× prior Linear Road throughput and 512 expressways. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Erik Zeitler (Uppsala University)
- 2. Tore Risch (Uppsala University)
BibTeX Citation
@article{zeitler_vldb11,
title = {{Massive Scale-out of Expensive Continuous Queries}},
author = {Zeitler, Erik and Risch, Tore},
journal = {PVLDB},
series = {{VLDB} '11},
volume = {4},
number = {11},
pages = {1181--1192},
doi = {10.14778/3402707.3402709},
url = {https://doi.org/10.14778/3402707.3402709},
year = {2011}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 983 | Integrating Scale Out and Fault Tolerance in Stream Processing using Operator State Management | 2013 | SIGMOD | 0.0001283214 |
| 3,851 | Analyzing Efficient Stream Processing on Modern Hardware | 2019 | VLDB | 7.0735328e-05 |
| 4,820 | LightSaber: Efficient Window Aggregation on Multi-core Processors | 2020 | SIGMOD | 6.493623e-05 |
| 8,568 | Prompt: Dynamic Data-Partitioning for Distributed Micro-batch Stream Processing Systems | 2020 | SIGMOD | 5.4118703e-05 |
| 9,640 | Supporting Scalable Analytics with Latency Constraints | 2015 | VLDB | 5.2434488e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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