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The Tipping Point of Edge-Cloud Data Management

Summary: Five-year industry-grounded study of AnyLog, a deployed edge–cloud DB across IoT/smart-city partners, exposing real-world adoption barriers, workload patterns, and operational tradeoffs (consistency, placement, cost, trust). Extracts design patterns and a “tipping point” for when edge distribution yields net benefit. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
527
Venue
CIDR
Year
2024
Pagerank
5.093636e-05
Overall Rank
11,119 | 23.72%
DOI
-

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@inproceedings{nawab_cidr24,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '24},
        title = {{The Tipping Point of Edge-Cloud Data Management}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Nawab, Faisal and Shadmon, Moshe},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
5,559 Consensus in Data Management: With Use Cases in Edge-Cloud and Blockchain Systems 2024 VLDB 6.1741042e-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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