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Self-tuning in Distributed Transactional Memory
[chapter]
2015
Lecture Notes in Computer Science
Many different mechanisms have been developed to implement Distributed Transactional Memory (DTM). Unfortunately, there is no "one-size-fits-all" design that offers the desirable performance across all possible workloads and scales. In fact, the performance of these mechanisms is affected by a number of intertwined factors that make it hard, or even impossible, to statically configure a DTM platform for optimal performance. These observations have motivated the emergence of self-tuning schemes
doi:10.1007/978-3-319-14720-8_19
fatcat:gwngrc57snd3ddzfanppruu5am