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

Alex Auvolat; François Taïani

doi:10.1109/SRDS.2019.00032

Conference Papers Year :

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

(1) , (2)

1
2

Alex Auvolat

Function : Author

Département d'informatique - ENS Paris

François Taïani

Function : Author
PersonId : 855
IdHAL : francois-taiani
ORCID : 0000-0002-9692-5678
IdRef : 081430264

the World Is Distributed Exploring the tension between scale and coordination

CV

Keywords

peer-to-peer search trees CRDT Merkle trees IoT anti-entropy georeplicated systems

Domains

Computer Science [cs] Distributed, Parallel, and Cluster Computing [cs.DC] Computer Science [cs] Cryptography and Security [cs.CR] Computer Science [cs] Software Engineering [cs.SE] Computer Science [cs] Social and Information Networks [cs.SI] Computer Science [cs] Networking and Internet Architecture [cs.NI]

Fichier principal

paper (1).pdf (457.42 Ko)

Alex Auvolat : Connect in order to contact the contributor

https://hal.inria.fr/hal-02303490

Submitted on : Thursday, October 3, 2019-3:38:54 PM

Last modification on : Friday, August 5, 2022-2:54:52 PM

Dates and versions

hal-02303490 , version 1 (03-10-2019)

Identifiers

HAL Id : hal-02303490 , version 1
DOI : 10.1109/SRDS.2019.00032

Cite

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 Dublin Core DC Terms EndNote Datacite

Collections

ENS-PARIS UNIV-RENNES1 CNRS INRIA INSA-RENNES IRISA CENTRALESUPELEC INRIA2 PSL UR1-MATH-STIC UR1-UFR-ISTIC UNIV-RENNES UR1-MATH-NUM

320 View

2977 Download

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

Keywords

Domains

Dates and versions

Identifiers

Cite

Export

Collections

Altmetric

Share