Database Paper Browser

Back to papers

Optimistic Recovery for Iterative Dataflows in Action

Summary: Optimistic recovery for iterative dataflows eliminates intermediate state checkpoints via compensation functions to reach a consistent state after failure. Demonstrated on Apache Flink with graph algorithms, it provides fault tolerance without checkpoint overhead and near-optimal failure-free performance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4987
Venue
SIGMOD
Year
2015
Pagerank
4.3259935e-05
Overall Rank
9,547 | 33.59%
DOI
10.1145/2723372.2735372

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers