BUZZARD: A NUMA-Aware In-Memory Indexing System

Summary: BUZZARD: NUMA-aware in-memory indexing using a prefix-tree partitioned across nodes, routing requests to local workers to minimize remote traffic. Adaptive partitioning with batch flushes and owner-local indexing reduces contention, boosting throughput on NUMA (220%) vs a single index. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4748
Venue: SIGMOD
Year: 2013
Pagerank: 4.2942813e-05
Overall Rank: 9,737 | 32.27%
DOI: -

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,190	P-MOSS: Scheduling Main-Memory Indexes Over NUMA Servers Using Next Token Prediction	2026	SIGMOD	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
8,347	QPPT: Query Processing on Prefix Trees	2013	CIDR	4.5410746e-05

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