Re: [RFC PATCH 11/17] Documentation/rv: Add documentation about hybrid automata
From: Juri Lelli <juri.lelli@redhat.com>
Date: 2025-08-19 08:53:38
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Hi! On 14/08/25 17:08, Gabriele Monaco wrote:
quoted hunk ↗ jump to hunk
Describe theory and implementation of hybrid automata in the dedicated page hybrid_automata.rst Include a section on how to integrate a hybrid automaton in monitor_synthesis.rst Also remove a hanging $ in deterministic_automata.rst Signed-off-by: Gabriele Monaco <gmonaco@redhat.com> --- .../trace/rv/deterministic_automata.rst | 2 +- Documentation/trace/rv/hybrid_automata.rst | 307 ++++++++++++++++++ Documentation/trace/rv/index.rst | 1 + Documentation/trace/rv/monitor_synthesis.rst | 86 +++++ 4 files changed, 395 insertions(+), 1 deletion(-) create mode 100644 Documentation/trace/rv/hybrid_automata.rstdiff --git a/Documentation/trace/rv/deterministic_automata.rst b/Documentation/trace/rv/deterministic_automata.rst index d0638f95a455..7a1c2b20ec72 100644 --- a/Documentation/trace/rv/deterministic_automata.rst +++ b/Documentation/trace/rv/deterministic_automata.rst@@ -11,7 +11,7 @@ where: - *E* is the finite set of events; - x\ :subscript:`0` is the initial state; - X\ :subscript:`m` (subset of *X*) is the set of marked (or final) states. -- *f* : *X* x *E* -> *X* $ is the transition function. It defines the state +- *f* : *X* x *E* -> *X* is the transition function. It defines the state transition in the occurrence of an event from *E* in the state *X*. In the special case of deterministic automata, the occurrence of the event in *E* in a state in *X* has a deterministic next state from *X*.diff --git a/Documentation/trace/rv/hybrid_automata.rst b/Documentation/trace/rv/hybrid_automata.rst new file mode 100644 index 000000000000..ecfff26d65bd --- /dev/null +++ b/Documentation/trace/rv/hybrid_automata.rst@@ -0,0 +1,307 @@ +Hybrid Automata +=============== + +Hybrid automata are an extension of deterministic automata, there are several +definitions of hybrid automata in the literature. The adaptation implemented +here is formally denoted by G and defined as a 7-tuple: + + *G* = { *X*, *E*, *V*, *f*, x\ :subscript:`0`, X\ :subscript:`m`, *i* } + +- *X* is the set of states; +- *E* is the finite set of events; +- *V* is the finite set of environment variables; +- x\ :subscript:`0` is the initial state; +- X\ :subscript:`m` (subset of *X*) is the set of marked (or final) states. +- *f* : *X* x *E* x *C(V)* -> *X* is the transition function. + It defines the state transition in the occurrence of an event from *E* in the + state *X*. Unlike deterministic automata, the transition function also + includes guards from the set of all possible constraints (defined as *C(V)*). + Guards can be true or false with the valuation of *V* when the event occurs, + and the transition is possible only when constraints are true. Similarly to + deterministic automata, the occurrence of the event in *E* in a state in *X* + has a deterministic next state from *X*, if the guard is true. +- *i* : *X* -> *C(V)* is the invariant assignment function, this is a + constraint assigned to each state in *X*, every state in *X* must be left + before the invariant turns to false. We can omit the representation of + invariants whose value is true regardless of the valuation of *V*. + +The set of all possible constraints *C(V)* is defined according to the +following grammar: + + g = v < c | v > c | v <= c | v >= c | v == c | v != c | g && g | true + +With v a variable in *V* and c a numerical value. + +We define the special case of hybrid automata whose variables grow with uniform +rates as timed automata. In this case, the variables are called clocks. +As the name implies, timed automata can be used to describe real time. +Additionally, clocks support another type of guard which always evaluates to true: + + reset(v) + +The reset constraint is used to set the value of a clock to 0. + +It is important to note that any valid hybrid automaton is a valid +deterministic automaton with additional guards and invariants. Those can only +further constrain what transitions are valid but it is not possible to define +transition functions starting from the same state in *X* and the same event in +*E* but ending up in different states in *X* based on the valuation of *V*. + +Examples +--------
Maybe add subsection titles to better mark separation between different examples?
+The 'wip' (wakeup in preemptive) example introduced as a deterministic automaton
+can also be described as:
+
+- *X* = { ``any_thread_running`` }
+- *E* = { ``sched_waking`` }
+- *V* = { ``preemptive`` }
+- x\ :subscript:`0` = ``any_thread_running``
+- X\ :subscript:`m` = {``any_thread_running``}
+- *f* =
+ - *f*\ (``any_thread_running``, ``sched_waking``, ``preemptive==0``) = ``any_thread_running``
+- *i* =
+ - *i*\ (``any_thread_running``) = ``true``
+
+Which can be represented graphically as::
+
+ |
+ |
+ v
+ #====================# sched_waking;preemptive==0
+ H H ------------------------------+
+ H any_thread_running H |
+ H H <-----------------------------+
+ #====================#
+
+In this example, by using the preemptive state of the system as an environment
+variable, we can assert this constraint on ``sched_waking`` without requiring
+preemption events (as we would in a deterministic automaton), which can be
+useful in case those events are not available or not reliable on the system.
+
+Since all the invariants in *i* are true, we can omit them from the representation.
+
+As a sample timed automaton we can define 'stall' as:Maybe indicate this first one is a not properly correct example (correct version follows)?
+
+- *X* = { ``dequeued``, ``enqueued``, ``running``}
+- *E* = { ``enqueue``, ``dequeue``, ``switch_in``}
+- *V* = { ``clk`` }
+- x\ :subscript:`0` = ``dequeue``
+- X\ :subscript:`m` = {``dequeue``}
+- *f* =
+ - *f*\ (``enqueued``, ``switch_in``, ``clk < threshold``) = ``running``
+ - *f*\ (``running``, ``dequeue``) = ``dequeued``
+ - *f*\ (``dequeued``, ``enqueue``, ``reset(clk)``) = ``enqueued``
+- *i* = *omitted as all true*
+
+Graphically represented as::
+
+ |
+ |
+ v
+ #============================#
+ H dequeued H <+
+ #============================# |
+ | |
+ | enqueue; reset(clk) |
+ v |
+ +----------------------------+ |
+ | enqueued | | dequeue
+ +----------------------------+ |
+ | |
+ | switch_in; clk < threshold |
+ v |
+ +----------------------------+ |
+ | running | -+
+ +----------------------------+
+
+This model imposes that the time between when a task is enqueued (it becomes
+runnable) and when the task gets to run must be lower than a certain threshold.
+A failure in this model means that the task is starving.
+One problem in using guards on the edges in this case is that the model will
+not report a failure until the ``switch_in`` event occurs. This means that,
+according to the model, it is valid for the task never to run.
+As this is not exactly what is intended, we can change the model as:
+
+- *X* = { ``dequeued``, ``enqueued``, ``running``}
+- *E* = { ``enqueue``, ``dequeue``, ``switch_in``}
+- *V* = { ``clk`` }
+- x\ :subscript:`0` = ``dequeue``
+- X\ :subscript:`m` = {``dequeue``}
+- *f* =
+ - *f*\ (``enqueued``, ``switch_in``) = ``running``
+ - *f*\ (``running``, ``dequeue``) = ``dequeued``
+ - *f*\ (``dequeued``, ``enqueue``, ``reset(clk)``) = ``enqueued``
+- *i* =
+ - *i*\ (``enqueued``) = ``clk < threshold``
+
+Graphically::
+
+ |
+ |
+ v
+ #=========================#
+ H dequeued H <+
+ #=========================# |
+ | |
+ | enqueue; reset(clk) |
+ v |
+ +-------------------------+ |
+ | enqueued | |
+ | clk < threshold | | dequeue
+ +-------------------------+ |
+ | |
+ | switch_in |
+ v |
+ +-------------------------+ |
+ | running | -+
+ +-------------------------+
+
+In this case, we moved the guard as an invariant to the ``enqueued`` state,
+this means we not only forbid the occurrence of ``switch_in`` when ``clk`` is
+past the threshold but also mark as invalid in case we are *still* in
+``enqueued`` after the threshold. This model is effectively in an invalid state
+as soon as a task is starving, rather than when the starving task finally runs.
+
+Hybrid Automaton in C
+---------------------
+
+The definition of hybrid automata in C is heavily based on the deterministic
+automata one. Specifically, we add the set of environment variables and the
+constraints (both guards on transitions and invariants on states) as follows::
+
+ /* enum representation of X (set of states) to be used as index */
+ enum states {
+ dequeued = 0,
+ enqueued,
+ running,
+ state_max
+ };
+
+ #define INVALID_STATE state_max
+
+ /* enum representation of E (set of events) to be used as index */
+ enum events {
+ dequeue = 0,
+ enqueue,
+ switch_in,
+ event_max
+ };
+
+ /* enum representation of V (set of environment variables) to be used as index */
+ enum envs {
+ clk = 0,
+ env_max,
+ env_max_stored = env_max
+ };
+
+ struct automaton {
+ char *state_names[state_max]; // X: the set of states
+ char *event_names[event_max]; // E: the finite set of events
+ char *env_names[env_max]; // V: the finite set of env vars
+ unsigned char function[state_max][event_max]; // f: transition function
+ unsigned char initial_state; // x_0: the initial state
+ bool final_states[state_max]; // X_m: the set of marked states
+ };
+
+ struct automaton aut = {
+ .state_names = {
+ "dequeued",
+ "enqueued",
+ "running"
+ },
+ .event_names = {
+ "dequeue",
+ "enqueue",
+ "switch_in"
+ },
+ .env_names = {
+ "clk"
+ },
+ .function = {
+ { INVALID_STATE, enqueued, INVALID_STATE },
+ { INVALID_STATE, INVALID_STATE, running },
+ { dequeued, INVALID_STATE, INVALID_STATE },
+ },
+ .initial_state = dequeued,
+ .final_states = { 1, 0, 0 },
+ };
+
+ static bool verify_constraint(enum states curr_state, enum events event,
+ enum states next_state)
+ {
+ bool res = true;
+
+ /* Validate guards as part of f */
+ if (curr_state == enqueued && event == sched_switch_in)
+ res = get_env(clk) < threshold;
+ else if (curr_state == dequeued && event == sched_wakeup)
+ reset_env(clk);
+
+ /* Validate invariants in i */
+ if (next_state == curr_state)
+ return res;
+ if (next_state == enqueued && res)
+ start_timer(clk, threshold);So, then the timer callback checks the invariant and possibly reports failure?
+ else + cancel_timer(); + return res; + } + +The function ``verify_constraint``, here reported as simplified, checks guards, +performs resets and starts timers to validate invariants according to +specification. +Due to the complex nature of environment variables, the user needs to provide +functions to get and reset environment variables, although we provide some +helpers for common types (e.g. clocks with ns or jiffy granularity). +Invariants defined in this way only make sense as clock expirations (e.g. *clk +< threshold*).
Thanks, Juri