MAG$Ο$: Types for Failure-Prone Communication
January 25, 2023 Β· Declared Dead Β· π European Symposium on Programming
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Matthew Alan Le Brun, Ornela Dardha
arXiv ID
2301.10827
Category
cs.PL: Programming Languages
Citations
9
Venue
European Symposium on Programming
Last Checked
3 months ago
Abstract
Multiparty Session Types (MPST) are a typing discipline for communication-centric systems, guaranteeing communication safety, deadlock freedom and protocol compliance. Several works have emerged which model failures and introduce fault-tolerance techniques. However, such works often make assumptions on the underlying network, e.g., TCP-based communication where messages are guaranteed to be delivered; or adopt centralised reliable nodes and an ad-hoc notion of reliability; or only address a single kind of failure, such as node crash failures. In this work, we develop MAG$Ο$ -- a Multiparty, Asynchronous and Generalised $Ο$-calculus, which is the first language and type system to accommodate in unison: (i) the widest range of non-Byzantine faults, including message loss, delays and reordering; crash failures and link failures; and network partitioning; (ii) a novel and most general notion of reliability, taking into account the viewpoint of each participant in the protocol; (iii) a spectrum of network assumptions from the lowest UDP-based network programming to the TCP-based application level. We prove subject reduction and session fidelity; process properties (deadlock freedom, termination, etc.); failure-handling safety and reliability adherence.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Programming Languages
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
R.I.P.
π»
Ghosted
Glow: Graph Lowering Compiler Techniques for Neural Networks
R.I.P.
π»
Ghosted
Learnable Programming: Blocks and Beyond
R.I.P.
π»
Ghosted
Scenic: A Language for Scenario Specification and Scene Generation
R.I.P.
π»
Ghosted
Vandal: A Scalable Security Analysis Framework for Smart Contracts
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted