In this talk, we will survey the role of data structures for compactly storing and representing various types of information in a localized and distributed fashion. Traditional approaches to data representation are based on global data structures, which require access to the entire structure even if the sought information involves only a small and local set of entities. In contrast, localized data representation schemes are based on breaking the information into small local pieces, or labels, selected in a way that allows one to infer information regarding a small set of entities directly from their labels, without using any additional (global) information. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Gavoille, C. (2006). Distributed data structures: A survey on informative labeling schemes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4162 LNCS, p. 38). Springer Verlag. https://doi.org/10.1007/11821069_3
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