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THEMIS: Fairness in Federated Stream Processing under Overload

Summary: THEMIS enables fair federated stream processing under overload by balancing per-result SIC across sites. Balance-SIC load shedding equalizes SIC across queries, delivering constant QoS feedback with low overhead, evaluated via Jain's fairness index. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5196
Venue
SIGMOD
Year
2016
Pagerank
5.4539042e-05
Overall Rank
8,324 | 42.90%
DOI
10.1145/2882903.2882943

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{kalyvianaki_sigmod16,
        title = {{THEMIS: Fairness in Federated Stream Processing under Overload}},
        author = {Kalyvianaki, Evangelia and Fiscato, Marco and Salonidis, Theodoros and Pietzuch, Peter},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2882943},
        url = {https://dl.acm.org/doi/10.1145/2882903.2882943},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
6,062 DARLING: Data-Aware Load Shedding in Complex Event Processing Systems 2022 VLDB 5.9906826e-05
6,410 A Holistic View of Stream Partitioning Costs 2017 VLDB 5.884019e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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