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Staying FIT: Efficient Load Shedding Techniques for Distributed Stream Processing

Summary: Models distributed load shedding as a linear optimization problem and precomputes shedding plans for bursty streams. Proposes a centralized solver and a distributed metadata-aggregation approach (Borealis) to coordinate shedding for end-to-end QoS. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h025a52b860727e35
Venue
VLDB
Year
2007
Pagerank
6.0509231e-05
Overall Rank
5,653 | 62.00%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{tatbul_vldb07,
        title = {{Staying FIT: Efficient Load Shedding Techniques for Distributed Stream Processing}},
        author = {Tatbul, Nesime and Çetintemel, Uğur and Zdonik, Stan},
        journal = {PVLDB},
        series = {{VLDB} '07},
        pages = {159--170},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
6,796 Intermittent Query Processing 2019 VLDB 5.6803529e-05
8,490 THEMIS: Fairness in Federated Stream Processing under Overload 2016 SIGMOD 5.3315439e-05
9,816 Supporting Scalable Analytics with Latency Constraints 2015 VLDB 5.1257999e-05
12,401 CE-Storm: Confidential Elastic Processing of Data Streams 2015 SIGMOD 4.9793485e-05
12,624 Building User-defined Runtime Adaptation Routines for Stream Processing Applications 2012 VLDB 4.9793485e-05
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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.

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