Database Paper Browser

Back to papers

Efficient and Error-bounded Spatiotemporal Quantile Monitoring in Edge Computing Environments

Summary: Edge SQM framework virtualizes edge sketches; a coordinator synchronizes processing and tunes data fractions to bound error and latency. Grid-based subquerying with shared sketches and a relaxation approach yields bounded latency and error guarantees; tested on fast IoT streaming data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12677
Venue
VLDB
Year
2022
Pagerank
4.1945683e-05
Overall Rank
11,371 | 20.90%
DOI
10.14778/3538598.3538600

Incoming Non-self Citations Over Time

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

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,458 TEQ: An Open and Developer-friendly Testbed for Edge-based Query Processing Algorithms 2025 SIGMOD 4.1945683e-05
Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers