DBScholar

Back to papers

Dandelion: Smaller Clusters, Bigger Speeds—Distributed Transactions Redefined

Summary: Dandelion targets small RDMA-based in-memory KVS clusters, exploiting locality via transparent request batching, batched/prefetched hash-table access, and strongly consistent reads from local backups. These optimizations deliver up to 6.5× FaSST throughput on five machines. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
13983
Venue
VLDB
Year
2025
Pagerank
5.093636e-05
Overall Rank
10,814 | 25.81%
DOI
10.14778/3718057.3718058

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{gavrielatos_vldb25,
        title = {{Dandelion: Smaller Clusters, Bigger Speeds—Distributed Transactions Redefined}},
        author = {Gavrielatos, Vasilis and Katsarakis, Antonios and Jensen, Chris and Ntarmos, Nikos},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {5},
        pages = {1264--1277},
        doi = {10.14778/3718057.3718058},
        url = {https://doi.org/10.14778/3718057.3718058},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
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