Reducing Storage for Quorum Consensus Algorithms

Summary: Fragmentation reduces storage overhead for replicated objects; a data-management protocol generalizes quorum consensus to fragmented data. Adding a log-based propagation mechanism recovers equivalent resiliency for reads and writes while preserving storage savings. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 7871
Venue: VLDB
Year: 1988
Pagerank: 4.1945683e-05
Overall Rank: 12,972 | 9.76%
DOI: -

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Authors

1. Divyakant Agrawal
2. Amr El Abbadi

Incoming Citations (Sorted by Pagerank)

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Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

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

Rank	Cited Paper	Year	Venue	Pagerank
787	Sacrificing Serializability to Attain High Availability of Data in an Unreliable Network	1982	PODS	0.00016652167

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