Exact acceleration of complex real-time model checking based on overlapping cycle

Author:

Wang Guoqing1,Zhuang Lei1,Song Yu1,He Mengyang1,Ma Ding2,Ma Ling13

Affiliation:

1. School of Information Engineering, Zhengzhou University, Zhengzhou, Henan, China

2. College of Information Science and Engineering, Henan University of Technology, Zhengzhou, Henan, China

3. Digital Medical Image Technique Research Center, Zhengzhou University, Zhengzhou, Henan, China

Abstract

When real-time systems are modeled as timed automata, different time scales may lead to substantial fragmentation of the symbolic state space. Exact acceleration solves the fragmentation problem without changing system reachability. The relatively mature technology of exact acceleration has been used with an appended cycle or a parking cycle, which can be applied to the calculation of a single acceleratable cycle model. Using these two technologies to develop a complex real-time model requires additional states and consumes a large amount of time cost, thereby influencing acceleration efficiency. In this paper, a complex real-time exact acceleration method based on an overlapping cycle is proposed, which is an application scenario extension of the parking-cycle technique. By comprehensively analyzing the accelerating impacts of multiple acceleratable cycles, it is only necessary to add a single overlapping period with a fixed length without relying on the windows of acceleratable cycles. Experimental results show that the proposed timed automaton model is simple and effectively decreases the time costs of exact acceleration. For the complex real-time system model, the method based on an overlapping cycle can accelerate the large scale and concurrent states which cannot be solved by the original exact acceleration theory.

Funder

Key Program of the National Natural Science Foundation of China

Key Scientific Research Project of Higher Education of Henan

Key R&D and Promotion Project in Science and Technology of Henan

Publisher

PeerJ

Subject

General Computer Science

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