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A combined-consistency approach: sequential amp; causal-consistency

This paper presents a new algorithm that provides two types of consistency models simultaneously on the same data. This algorithm combines sequential and causal consistencies. Two community of sites share the same set of data with different consistency models. This algorithm has been validated by a SPIN/PROMELA simulation. Our proposal addresses uniform memory models based applications. Our work can be applied to passive object, variable or page based environments.