Blunting an Adversary Against Randomized Concurrent Programs with Linearizable Implementations
Résumé
Atomic shared objects, whose operations take place instantaneously, are a powerful abstraction for designing complex concurrent programs. Since they are not always available, they are typically substituted with software implementations. A prominent condition relating these implementations to their atomic specifications is linearizability, which preserves safety properties of the programs using them. However linearizability does not preserve hyper-properties, which include probabilistic guarantees of randomized programs: an adversary can greatly amplify the probability of a bad outcome, such as nontermination, by manipulating the order of events inside the implementations of the operations. This unwelcome behavior prevents modular reasoning, which is the key benefit provided by the use of linearizable object implementations. A more restrictive property, strong linearizability, does preserve hyper-properties but it is impossible to achieve in many situations. This paper suggests a novel approach to blunting the adversary's additional power that works even in cases where strong linearizability is not achievable. We show that a wide class of linearizable implementations, including well-known ones for registers and snapshots, can be modified to approach the probabilistic guarantees of randomized programs when using atomic objects. The technical approach is to transform the algorithm of each operation of an existing linearizable implementation by repeating a carefully chosen prefix of the operation several times and then randomly choosing which repetition to use subsequently. We prove that the probability of a bad outcome decreases with the number of repetitions, approaching the probability attained when using atomic objects. The class of implementations to which our transformation applies includes the ABD implementation of a shared register using message-passing, the Afek et al. implementation of an atomic snapshot using singlewriter registers, the Vitányi and Awerbuch implementation of a multi-writer register using single-writer registers, and the Israeli and Li implementation of a multi-reader register using single-reader registers, all of which are widely used in asynchronous crash-prone systems.
Mots clés
• Theory of computation → Distributed computing models Concurrent algorithms Distributed algorithms • Computing methodologies → Distributed algorithms Concurrent algorithms Concurrent Objects Strong Linearizability Randomized Programs ABD Simulation Atomic Snapshots Shared registers
• Theory of computation → Distributed computing models
Concurrent algorithms
Distributed algorithms
• Computing methodologies → Distributed algorithms
Concurrent algorithms Concurrent Objects
Strong Linearizability
Randomized Programs
ABD Simulation
Atomic Snapshots
Shared registers
Domaines
Informatique [cs]Origine | Fichiers produits par l'(les) auteur(s) |
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