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Current trends in main memory capacity and cost indicate that in a few years most performance-critical applications will have all (or most of) their data stored in the main memory of the nodes of a small-size cluster. A few recent research papers have pointed this out and proposed architectures taking advantage of clustered environments aggregating powerful processors equipped with large main memories. This position paper proposes yet another approach, which builds on Distributed Shared Memory systems (DSMs) introduced in the early 80's. The authors introduce the idea of the dsmDB, discuss how its architecture could be organized, and elaborate on some of its algorithms. They conclude the paper with a discussion of some of its advantages and drawbacks.
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