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WANalytics: Analytics for a Geo-Distributed Data-Intensive World

Summary: WABD: running DAG analytics over geo-distributed data; centralizing raw data infeasible due to WAN cost, bandwidth limits, and data‑sovereignty. WANalytics pushes computation to edge DCs, optimizes DAG execution and selective replication; prototype yields 257× WAN reduction. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
266
Venue
CIDR
Year
2015
Pagerank
7.3642231e-05
Overall Rank
3,494 | 76.03%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{vulimiri_cidr15,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '15},
        title = {{WANalytics: Analytics for a Geo-Distributed Data-Intensive World}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Vulimiri, Ashish and Curino, Carlo and Godfrey, Brighten and Karanasos, Konstantinos and Varghese, George},
        year = {2015}
}

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