A Conflict-Free Replicated JSON Datatype
- Submitting institution
-
University of Cambridge
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1855
- Type
- D - Journal article
- DOI
-
10.1109/TPDS.2017.2697382
- Title of journal
- IEEE Transactions on Parallel and Distributed Systems
- Article number
- 10
- First page
- 2733
- Volume
- PP
- Issue
- 99
- ISSN
- 1045-9219
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Citation count
- 10
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The algorithms in this paper have formed the basis of two open source projects: Automerge (https://github.com/automerge/automerge) and crjdt (https://fthomas.github.io/crjdt/). Automerge is work by our group, while crjdt was developed by an industry team independent from us. Automerge has been "starred" (marked as a favourite project) by over 9,000 GitHub users and has received contributions from almost 40 different people, many in industry. This paper has led to a collaboration with Ink and Switch (a US tech startup), who have also made a $10k donation to the department.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -