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A. R. Balasubramanian ; Javier Esparza ; Mikhail Raskin - Finding Cut-Offs in Leaderless Rendez-Vous Protocols is Easy

lmcs:8354 - Logical Methods in Computer Science, October 12, 2023, Volume 19, Issue 4 - https://doi.org/10.46298/lmcs-19(4:2)2023
Finding Cut-Offs in Leaderless Rendez-Vous Protocols is EasyArticle

Authors: A. R. Balasubramanian ORCID; Javier Esparza ; Mikhail Raskin ORCID

    In rendez-vous protocols an arbitrarily large number of indistinguishable finite-state agents interact in pairs. The cut-off problem asks if there exists a number $B$ such that all initial configurations of the protocol with at least $B$ agents in a given initial state can reach a final configuration with all agents in a given final state. In a recent paper (Horn and Sangnier, CONCUR 2020), Horn and Sangnier proved that the cut-off problem is decidable (and at least as hard as the Petri net reachability problem) for protocols with a leader, and in EXPSPACE for leaderless protocols. Further, for the special class of symmetric protocols they reduce these bounds to PSPACE and NP, respectively. The problem of lowering these upper bounds or finding matching lower bounds was left open. We show that the cut-off problem is P-complete for leaderless protocols and in NC for leaderless symmetric protocols. Further, we also consider a variant of the cut-off problem suggested in (Horn and Sangnier, CONCUR 2020), which we call the bounded-loss cut-off problem and prove that this problem is P-complete for leaderless protocols and NL-complete for leaderless symmetric protocols. Finally, by reusing some of the techniques applied for the analysis of leaderless protocols, we show that the cut-off problem for symmetric protocols with a leader is NP-complete, thereby improving upon all the elementary upper bounds of (Horn and Sangnier, CONCUR 2020).


    Volume: Volume 19, Issue 4
    Published on: October 12, 2023
    Accepted on: July 3, 2023
    Submitted on: August 12, 2021
    Keywords: Computer Science - Logic in Computer Science
    Funding:
      Source : OpenAIRE Graph
    • Parametrized Verification and Synthesis; Funder: European Commission; Code: 787367

    Classifications

    Mathematics Subject Classification 20201

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