Abstract
Spatial abstractions promise to be basic necessary ingredients for a novel “spatial computing” approach to distributed systems development and management, suitable to tackle the complexity of modern distributed computing scenarios and promoting self-organization and self-adaptation. In this paper, we analyze the key concepts underlying spatial computing and show how they can be organized around a sort of “spatial computing stack”, in which a variety of apparently very diverse mechanisms and approaches can be properly framed. Following, we present our current research work on the TOTA middleware as a representative example of a general-purpose approach to spatial computing. In particular, we discuss how TOTA can be exploited to support the development and execution of self-organizing and self-adaptive spatial computing applications.
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Mamei, M., Zambonelli, F. (2005). Spatial Computing: The TOTA Approach. In: Babaoglu, O., et al. Self-star Properties in Complex Information Systems. SELF-STAR 2004. Lecture Notes in Computer Science, vol 3460. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11428589_20
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DOI: https://doi.org/10.1007/11428589_20
Publisher Name: Springer, Berlin, Heidelberg
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