Memory-Anonymous Starvation-Free Mutual Exclusion: Possibility and Impossibility Results

Author Gadi Taubenfeld



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Gadi Taubenfeld
  • Reichman University, Herzliya, Israel

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Gadi Taubenfeld. Memory-Anonymous Starvation-Free Mutual Exclusion: Possibility and Impossibility Results. In 37th International Symposium on Distributed Computing (DISC 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 281, pp. 33:1-33:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023) https://doi.org/10.4230/LIPIcs.DISC.2023.33

Abstract

In an anonymous shared memory system, all inter-process communications are via shared objects; however, unlike in standard systems, there is no a priori agreement between processes on the names of shared objects [G. Taubenfeld, 2017; G. Taubenfeld, 2022]. Furthermore, the algorithms are required to be symmetric; that is, the processes should execute precisely the same code, and the only way to distinguish processes is by comparing identifiers for equality. For such a system, read/write registers are called anonymous registers. It is known that symmetric deadlock-free mutual exclusion is solvable for any finite number of processes using anonymous registers [Z. Aghazadeh et al., 2019]. The main question left open in [G. Taubenfeld, 2017; G. Taubenfeld, 2022] is the existence of starvation-free mutual exclusion algorithms for two or more processes. We resolve this open question for memoryless algorithms, in which a process that tries to enter its critical section does not use any information about its previous attempts. Almost all known mutual exclusion algorithms are memoryless. We show that,  
1) There is a symmetric memoryless starvation-free mutual exclusion algorithm for two processes using m ≥ 7 anonymous registers if and only if m is odd. 
2) There is no symmetric memoryless starvation-free mutual exclusion algorithm for n ≥ 3 processes using (any number of) anonymous registers.  Our impossibility result is the only example of a system with fault-free processes, where global progress (i.e., deadlock-freedom) can be ensured, while individual progress to each process (i.e., starvation-freedom) cannot. It complements a known result for systems with failure-prone processes, that there are objects with lock-free implementations but without wait-free implementations [H. Attiya et al., 2022; M. Herlihy, 1991].

Subject Classification

ACM Subject Classification
  • Theory of computation → Distributed computing models
  • Theory of computation → Shared memory algorithms
  • Theory of computation → Distributed algorithms
Keywords
  • anonymous shared memory
  • memory-anonymous algorithms
  • anonymous registers
  • starvation-free mutual exclusion

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References

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