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Developing software for dynamic pervasive computing networks can be an intimidating prospect. While much research has focused on developing and describing algorithms and protocols for these environments, the process of deploying these technologies is far from mature or streamlined. Furthermore, the heterogeneity of computing platforms present in pervasive computing networks can make the deployment task unapproachable. In this paper, the authors demonstrate how the evolving tuples model can address the development and deployment concerns associated with pervasive computing networks. Specifically, they show how evolving tuples can be used to drive a principled protocol derivation process, enabling rapid deployment of incremental implementations on real networks.
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