Multi-Head Monitoring of Metric Dynamic Logic

Martin Raszyk 📧

February 13, 2022

Abstract

Runtime monitoring (or runtime verification) is an approach to checking compliance of a system's execution with a specification (e.g., a temporal formula). The system's execution is logged into a trace—a sequence of time-points, each consisting of a time-stamp and observed events. A monitor is an algorithm that produces verdicts on the satisfaction of a temporal formula on a trace.

We formalize the time-stamps as an abstract algebraic structure satisfying certain assumptions. Instances of this structure include natural numbers, real numbers, and lexicographic combinations of them. We also include the formalization of a conversion from the abstract time domain introduced by Koymans (1990) to our time-stamps.

We formalize a monitoring algorithm for metric dynamic logic, an extension of metric temporal logic with regular expressions. The monitor computes whether a given formula is satisfied at every position in an input trace of time-stamped events. Our monitor follows the multi-head paradigm: it reads the input simultaneously at multiple positions and moves its reading heads asynchronously. This mode of operation results in unprecedented time and space complexity guarantees for metric dynamic logic: The monitor's amortized time complexity to process a time-point and the monitor's space complexity neither depends on the event-rate, i.e., the number of events within a fixed time-unit, nor on the numeric constants occurring in the quantitative temporal constraints in the given formula.

The multi-head monitoring algorithm for metric dynamic logic is reported in our paper “Multi-Head Monitoring of Metric Dynamic Logic” published at ATVA 2020. We have also formalized unpublished specialized algorithms for the temporal operators of metric temporal logic.

License

BSD License

History

February 23, 2022
added conversion from the abstract time domain by Koymans (1990) to our time domain; refactored assumptions on time domain (revision c9f94b0ae10e)

Topics

Session VYDRA_MDL