Scalable Approximate Query Tracking over Highly Distributed Data Streams
Summary: Scalable approximate query tracking over distributed streams via Geometric Monitoring suffers when the number of sites grows. A sampling-based scheme with O(sqrt(N)) sites preserves accuracy guarantees while dramatically reducing communication, validated on real data streams. (summarized by gpt-5-nano on Feb 09 2026)
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