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Tight Bounds for Adopt-Commit Objects

机译:收养对象的严格界限

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We give matching upper and lower bounds of Θ(min(log m /log log m, n)) for the individual step complexity of a wait-free w-valued adopt-commit object implemented using multi-writer registers for n anonymous processes. While the upper bound is deterministic, the lower bound holds for randomized adopt-commit objects as well. Our results are based on showing that adopt-commit objects are equivalent, up to small additive constants, to a simpler class of objects that we call conflict detectors. Our anonymous lower bound also applies to the individual step complexity of m-valued wait-free anonymous consensus, even for randomized algorithms with global coins against an oblivious adversary. The upper bound can be used to slightly improve the cost of randomized consensus against an oblivious adversary. For deterministic non-anonymous implementations of adopt-commit objects, we show a lower bound of Ω(min(log m/log log m , log n~(1/2)/log log n) and an upper bound of O(min(log m/log log m , log n) on the worst-case individual step complexity. For randomized non-anonymous implementations, we show that any execution contains at least one process whose steps exceed the deterministic lower bound.
机译:对于使用n个匿名进程的多编写器寄存器实现的免等待w值采用提交对象的单个步骤复杂度,我们给出了Θ(min(log m / log log m,n))的匹配上下限。虽然上限是确定性的,但下限也适用于随机的采用提交对象。我们的结果基于表明,采用提交对象与较小类的对象(称为冲突检测器)等效,直到很小的加性常数。我们的匿名下限也适用于m值的免等待匿名共识的单个步骤复杂性,甚至适用于带有全局硬币的无名对手的随机算法。上限可用于略微提高针对遗忘对手的随机共识的成本。对于采用提交对象的确定性非匿名实现,我们显示Ω(min(log m / log log m,log n〜(1/2)/ log log n)的下限和O(min (log m / log log m,log n)关于最坏情况下的单个步骤复杂度。对于随机非匿名实现,我们表明任何执行都至少包含一个进程,其步长超过确定性下限。

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