Distributed CTL Model Checking in the Cloud

TL;DR

This paper presents a distributed method leveraging cloud computing to perform CTL model checking on large state spaces, demonstrating improved scalability and efficiency through benchmark testing.

Contribution

It introduces a novel distributed approach for CTL model checking that utilizes big data techniques and cloud resources, enabling verification of very large systems.

Findings

Effective verification of large state spaces using distributed systems.

Benchmark results show improved performance and scalability.

Demonstrates feasibility of cloud-based CTL model checking.

Abstract

The recent extensive availability of "big data" platforms calls for a more widespread adoption by the formal verification community. In fact, formal verification requires high performance data processing software for extracting knowledge from the unprecedented amount of data which come from analyzed systems. Since cloud based computing resources have became easily accessible, there is an opportunity for verification techniques and tools to undergo a deep technological transition to exploit the new available architectures. This has created an increasing interest in parallelizing and distributing verification techniques. In this paper we introduce a distributed approach which exploits techniques typically used by the "big data" community to enable verification of Computation Tree Logic (CTL) formulas on very large state spaces using distributed systems and cloud computing facilities. The outcome of several tests performed on benchmark specifications are presented, thus showing the convenience of the proposed approach.