Bridging Causal Reversibility and Time Reversibility: A Stochastic Process Algebraic Approach

Causal reversibility blends causality and reversibility for concurrent systems.
It indicates that an action can be undone provided that all of its consequences
have been undone already, thus making it possible to bring the system back to
a past consistent state. Time reversibility is instead considered in the field
of stochastic processes, mostly for efficient analysis purposes. A performance model
based on a continuous-time Markov chain is time reversible if its stochastic behavior
remains the same when the direction of time is reversed. We bridge these two theories
of reversibility by showing the conditions under which causal reversibility and
time reversibility are both ensured by construction. This is done in the setting
of a stochastic process calculus, which is then equipped with a variant of
stochastic bisimilarity accounting for both forward and backward directions.
We also investigate the different compositionality properties and axiomatizations
of forward bisimilarity, backward bisimilarity, and forward-backward bisimilarity.

Relatore

Marco Bernardo

Vincoli di partecipazione

Pur raccomandando la partecipazione in presenza, il seminario, che fa parte del ciclo Synergia, può essere seguito anche a distanza collegandosi a questo link

Date

Luogo Data Orario Crediti (CFU)
Aula Turing 26 Gennaio 2023 17.00 0.125