Lock-free algorithms have been developed to avoid various problems associated with using locks to control access to shared data structures. Instead of preventing interference between processes using mutual exclusion, ...
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Lock-free algorithms have been developed to avoid various problems associated with using locks to control access to shared data structures. Instead of preventing interference between processes using mutual exclusion, lock-free algorithms must ensure correct behaviour in the presence of interference. While this avoids the problems with locks, the resulting algorithms are typically more intricate than lock-based algorithms, and allow more complex interactions between processes. The result is that even when the basic idea is easy to understand, the code implementing lock-free algorithms is typically very subtle, hard to understand, and hard to get right. In this paper, we consider the well-known lock-free queue implementation due to Michael and Scott, and show how a slightly simplified version of this algorithm can be derived from an abstract specification via a series of verifiable refinement steps. Reconstructing a design history in this way allows us to examine the kinds of design decisions that underlie the algorithm as describe by Michael and Scott, and to explore the consequences of some alternative design choices. Our derivation is based on a refinement calculus with concurrent composition, combined with a reduction approach, based on that proposed by Lipton, Lamport, Cohen, and others, which we have previously used to derive a scalable stack algorithm. The derivation of Michael and Scott's queue algorithm introduces some additional challenges because it uses a "helper" mechanism which means that part of an enqueue operation can be performed by any process, also in a simulation proof the treatment of dequeue on an empty queue requires the use of backward simulation
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