2011arXiv (Cornell University)Open access

Linearizable Implementations Do Not Suffice for Randomized Distributed\n Computation

Wojciech Golab, Lisa Highám, Philipp Woelfel

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Abstract

Linearizability is the gold standard among algorithm designers for deducing\nthe correctness of a distributed algorithm using implemented shared objects\nfrom the correctness of the corresponding algorithm using atomic versions of\nthe same objects. We show that linearizability does not suffice for this\npurpose when processes can exploit randomization, and we discuss the existence\nof alternative correctness conditions.\n

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Linearizability is the gold standard among algorithm designers for deducing\nthe correctness of a distributed algorithm using implemented shared objects\nfrom the correctness of the corresponding algorithm using atomic versions of\nthe same objects. We show that linearizability does not suffice for this\npurpose when processes can exploit randomization, and we discuss the existence\nof alternative correctness conditions.\n

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Available abstract

Linearizability is the gold standard among algorithm designers for deducing\nthe correctness of a distributed algorithm using implemented shared objects\nfrom the correctness of the corresponding algorithm using atomic versions of\nthe same objects. We show that linearizability does not suffice for this\npurpose when processes can exploit randomization, and we discuss the existence\nof alternative correctness conditions.\n

Key concepts: Correctness, Linearizability, Computer science, Implementation, Computation, Exploit, Theoretical computer science, Algorithm

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