Titlebook: Recoverable Mutual Exclusion; Sahil Dhoked,Wojciech Golab,Neeraj Mittal Book 2023 The Editor(s) (if applicable) and The Author(s), under e

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System Wide Failures,referred to as a system-wide failure. In this chapter, we describe an RME algorithm that is specifically designed for this category of failures, and achieves . RMR complexity in both the CC and DSM models. The algorithm relies crucially on a failure detector to synchronize recovering processes.

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Introduction,e critical section. This assumption is challenged in systems that support persistent memory (PMem), which is a new class of memory technology that combines the low latency and high bandwidth of traditional random access memory with the high density and non-volatility of secondary storage media. PMem

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Prior Work,his seminal work several decades ago. Recent research on this topic emphasizes so-called local spin algorithms, which incur a bounded number of remote memory references (RMRs) per passage. Recoverable mutual exclusion (RME) creates new scope for the study of such algorithms by challenging the tradit

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Problem Formulation, We explain the semantics of recovery, and consider examples involving compositions of recoverable locks. We also discuss more formally the remote memory reference (RMR) complexity measure, which is commonly used to evaluate the scalability of concurrent algorithms including RME algorithms.

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Sublogarithmic Algorithms,ent RME lock that has linear RMR complexity for a 0-failure concurrent passage, but constant RMR complexity otherwise, and incurs only constant RMRs for critical section reentry. Multiple instances of this building block are arranged in an arbitration tree structure to obtain sublogarithmic worst-ca

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