Poster: Data-Aware Edge Sampling for Aggregate Query Approximation
IEEE/ACM Symposium on Edge Computing (SEC 2020).
DOI: 10.1109/SEC50012.2020.00021Best Poster Award
Joel Wolfrath
University of Minnesota, Twin Cities
Abhishek Chandra
University of Minnesota, Twin Cities
Principal Investigator
This line of research considers an edge-cloud hybrid approach for reducing WAN traffic by systematically trading-off between edge sampling and simulation in the cloud. We restrict our focus to aggregate queries, which estimate quantities like counts, averages, standard deviations, and order statistics.
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