Scaling reliably: improving the scalability of the Erlang distributed actor platform
- Submitting institution
-
University of Glasgow
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11-03770
- Type
- D - Journal article
- DOI
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10.1145/3107937
- Title of journal
- ACM Transactions on Programming Languages and Systems
- Article number
- 17
- First page
- -
- Volume
- 39
- Issue
- 4
- ISSN
- 0164-0925
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2017
- URL
-
http://eprints.gla.ac.uk/143232/
- 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
-
24
- Research group(s)
-
-
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- ORIGINALITY: first complete presentation of the RELEASE (£2.2M EU FP7 project, Trinder coordinated) technologies for engineering scalable reliable Erlang systems. The first comprehensive study of any distributed actor language at this scale (100s of hosts, ~10K cores/VMs). SIGNIFICANCE: The premier programming language journal. Some results separately reported with significant citations: 10.1016/j.jpdc.2016.01.002, 10.1145/2505305.2505315, 2505305.2505311, 10.1007/978-3-642-40447-4_17, 10.1109/TPDS.2017.2767046. Substantial interest: seven developer conference invitations; Ericsson collaboration; several H2020 proposals; REF impact case study. RIGOUR: Systematically demonstrates Erlang scalability limits (8 experiments), improvements to VM (10 experiments), language (1 experiment) and tools (5 illustrated). Performance study reports 4 experiments, 2 case studies, 4 architectures.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
