Talks and Poster Presentations (with Proceedings-Entry):
I. Konnov, J. Widder, F. Spegni, L. Spalazzi:
"Accuracy of Message Counting Abstraction in Fault-Tolerant Distributed Algorithms";
Talk: Verification, Model Checking, and Abstract Interpretation (VMCAI),
- 2017-01-17; in: "VMCAI 2017: Verification, Model Checking, and Abstract Interpretation",
Fault-tolerant distributed algorithms are a vital part of mission-critical distributed systems. In principle, automatic verification can be used to ensure the absence of bugs in such algorithms. In practice however, model checking tools will only establish the correctness of distributed algorithms if message passing is encoded efficiently. In this paper, we consider abstractions suitable for many fault-tolerant distributed algorithms that count messages for comparison against thresholds, e.g., the size of a majority of processes. Our experience shows that storing only the numbers of sent and received messages in the global state is more efficient than explicitly modeling message buffers or sets of messages. Storing only the numbers is called message-counting abstraction. Intuitively, this abstraction should maintain all necessary information. In this paper, we confirm this intuition for asynchronous systems by showing that the abstract system is bisimilar to the concrete system. Surprisingly, if there are real-time constraints on message delivery (as assumed in fault-tolerant clock synchronization algorithms), then there exist neither timed bisimulation, nor time-abstracting bisimulation. Still, we prove this abstraction useful for model checking: it preserves ATCTL properties, as the abstract and the concrete models simulate each other.
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
Electronic version of the publication:
Project Head Igor Konnov:
Abstraction-based Parameterized TLA Checker
Project Head Josef Widder:
Parametrized Verification of Fault-tolerant Distributed Algorithms
Created from the Publication Database of the Vienna University of Technology.