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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
9572
Venue
VLDB
Year
2007
Pagerank
5.3766e-05
Overall Rank
5,675 | 60.53%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
7,407 Intermittent Query Processing 2019 VLDB 4.7373205e-05
8,337 THEMIS: Fairness in Federated Stream Processing under Overload 2016 SIGMOD 4.5434623e-05
9,504 Supporting Scalable Analytics with Latency Constraints 2015 VLDB 4.3341665e-05
11,909 CE-Storm: Confidential Elastic Processing of Data Streams 2015 SIGMOD 4.1945683e-05
12,137 Building User-defined Runtime Adaptation Routines for Stream Processing Applications 2012 VLDB 4.1945683e-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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