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Compact Histograms for Hierarchical Identifiers

Summary: Compact histograms as partitioning functions model hierarchical UIDs (e.g., IPs), enabling bandwidth-efficient group-aggregates over large lookup tables. Three novel partitioning families use single-identifier buckets and distributive-error optimization; they scale to multiple hierarchies and yield higher accuracy per bit on real network data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9498
Venue
VLDB
Year
2006
Pagerank
4.7243492e-05
Overall Rank
7,459 | 48.11%
DOI
-

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