Merkle Search Trees: Efficient State-Based CRDTs in Open Networks

Alex Auvolat 1 François Taïani 2
1 DI-ENS - Département d'informatique de l'École normale supérieure
2 WIDE - the World Is Distributed Exploring the tension between scale and coordination
Inria Rennes – Bretagne Atlantique , IRISA-D1 - SYSTÈMES LARGE ÉCHELLE
Keywords : search trees CRDT Merkle trees IoT georeplicated systems anti-entropy peer-to-peer
Document type :
Conference papers
Complete list of metadatas

Cited literature [31 references]  Display  Hide  Download
https://hal.inria.fr/hal-02303490
Contributor : Alex Auvolat <>
Submitted on : Thursday, October 3, 2019 - 3:38:54 PM
Last modification on : Thursday, October 24, 2019 - 10:24:22 AM

File

paper (1).pdf

Identifiers

Collections

UNIV-RENNES1 | CNRS | CENTRALESUPELEC | INRIA | UNIV-RENNES | ENS-PARIS | PSL | IRISA | UR1-UFR-ISTIC

Citation

Alex Auvolat, François Taïani. Merkle Search Trees: Efficient State-Based CRDTs in Open Networks. SRDS 2019 - 38th IEEE International Symposium on Reliable Distributed Systems, Oct 2019, Lyon, France. pp.1-10, ⟨10.1109/SRDS.2019.00032⟩. ⟨hal-02303490⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

109

Files downloads

352

Contact


archive-ouverte@inria.fr