ConsAD: A Real-Time Consistency Anomalies Detector

Summary: ConsAD detects real-time consistency anomalies under non-serializable isolation. It pinpoints exact transactions and data items, classifies anomalies by patterns and frequency, guiding isolation tuning or transactional redesign via a live GUI. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4571
Venue: SIGMOD
Year: 2012
Pagerank: 4.4301702e-05
Overall Rank: 8,879 | 38.24%
DOI: -

Incoming Non-self Citations Over Time

Authors

1. Kamal Zellag
2. Bettina Kemme

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
4,499	Possible and Certain SQL Keys	2015	VLDB	6.1385333e-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
23	A Critique of ANSI SQL Isolation Levels	1995	SIGMOD	0.00083894938

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