Abstract
This survey concerns 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.
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© 2005 Springer-Verlag Berlin Heidelberg
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Gavoille, C. (2005). Distributed Data Structures: A Survey. In: Pelc, A., Raynal, M. (eds) Structural Information and Communication Complexity. SIROCCO 2005. Lecture Notes in Computer Science, vol 3499. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11429647_2
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DOI: https://doi.org/10.1007/11429647_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26052-3
Online ISBN: 978-3-540-32073-9
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