Fork-consistent constructions from registers

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Abstract

Users increasingly execute services online at remote providers, but they may have security concerns and not always trust the providers. Fork-consistent emulations offer one way to protect the clients of a remote service, which is usually correct but may suffer from Byzantine faults. They feature linearizability as long as the service behaves correctly, and gracefully degrade to fork-consistent semantics in case the service becomes faulty. This guarantees data integrity and service consistency to the clients. All currently known fork-consistent emulations require the execution of non-trivial computation steps by the service. From a theoretical viewpoint, such a service constitutes a read-modify-write object, representing the strongest object in Herlihy's wait-free hierarchy [1]. A read-modify-write object is much more powerful than a shared memory made of so-called registers, which lie in the weakest class of all shared objects in this hierarchy. In practical terms, it is important to reduce the complexity and cost of a remote service implementation as computation resources are typically more expensive than storage resources. In this paper, we address the fundamental structure of a fork-consistent emulation and ask the question: Can one provide a fork-consistent emulation in which the service does not execute computation steps, but can be realized only by a shared memory? Surprisingly, the answer is yes. Specifically, we provide two such algorithms that can be built only from registers: A fork-linearizable construction of a universal type, in which operations are allowed to abort under concurrency, and a weakly fork-linearizable emulation of a shared memory that ensures wait-freedom when the registers are correct. © 2011 Springer-Verlag.

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APA

Majuntke, M., Dobre, D., Cachin, C., & Suri, N. (2011). Fork-consistent constructions from registers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7109 LNCS, pp. 283–298). https://doi.org/10.1007/978-3-642-25873-2_20

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