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EIRES: Efficient Integration of Remote Data in Event Stream Processing

Summary: CEP with remote data dependencies stalls streams or inflates state. EIRES uses a cost-model to trigger fetches and cache remote data, combining prefetching and lazy evaluation to maintain flow, yielding up to 3,752x synthetic and 47x real-data latency gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h752cb591d2daf997
Venue
SIGMOD
Year
2021
Pagerank
5.1803377e-05
Overall Rank
9,419 | 36.68%
DOI
10.1145/3448016.3457304

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{zhao_sigmod21,
        title = {{EIRES: Efficient Integration of Remote Data in Event Stream Processing}},
        author = {Zhao, Bo and van der Aa, Han and Nguyen, Thanh Tam and Nguyen, Quoc Viet Hung and Weidlich, Matthias},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3457304},
        url = {https://dl.acm.org/doi/10.1145/3448016.3457304},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
7,717 CORE: a Complex Event Recognition Engine 2022 VLDB 5.4683294e-05
9,807 INEv: In-Network Evaluation for Event Stream Processing 2023 SIGMOD 5.1257999e-05
11,536 Enabling Adaptive Sampling for Intra-Window Join: Simultaneously Optimizing Quantity and Quality 2024 SIGMOD 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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

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