PSYNC: A partially synchronous language for fault-tolerant distributed algorithms

Abstract : Fault-tolerant distributed algorithms play an important role in many critical/high-availability applications. These algorithms are notoriously difficult to implement correctly, due to asynchronous communication and the occurrence of faults, such as the network dropping messages or computers crashing. We introduce PSYNC, a domain specific language based on the Heard-Of model, which views asynchronous faulty systems as synchronous ones with an adversarial environment that simulates asyn-chrony and faults by dropping messages. We define a runtime system for PSYNC that efficiently executes on asynchronous networks. We formalise the relation between the runtime system and PSYNC in terms of observational refinement. This high-level synchronous abstraction introduced by PSYNC simplifies the design and implementation of fault-tolerant distributed algorithms and enables automated formal verification. We have implemented an embedding of PSYNC in the SCALA programming language with a runtime system for partially synchronous networks. We show the applicability of PSYNC by implementing several important fault-tolerant distributed algorithms and we compare the implementation of consensus algorithms in PSYNC against implementations in other languages in terms of code size, runtime efficiency, and verification.
Document type :
Conference papers
Complete list of metadatas

Cited literature [66 references]  Display  Hide  Download

https://hal.inria.fr/hal-01251199
Contributor : Cezara Dragoi <>
Submitted on : Tuesday, January 5, 2016 - 5:42:27 PM
Last modification on : Thursday, February 7, 2019 - 3:49:19 PM
Long-term archiving on : Thursday, April 7, 2016 - 3:40:29 PM

File

head.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Cezara Drăgoi, Thomas Henzinger, Damien Zufferey. PSYNC: A partially synchronous language for fault-tolerant distributed algorithms. POPL '16 - 43rd Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, Jan 2016, Saint Petersburg, Florida, United States. pp.400-415, ⟨10.1145/2837614.2837650⟩. ⟨hal-01251199⟩

Share

Metrics

Record views

491

Files downloads

433