Application-Oriented Succinct Data Structures for Big Data

Tetsuo Shibuya ()

The Review of Socionetwork Strategies, 2019, vol. 13, issue 2, 227-236

Abstract: Abstract A data structure is called succinct if its asymptotical space requirement matches the original data size. The development of succinct data structures is an important factor to deal with the explosively increasing big data. Moreover, wider variations of big data have been produced in various fields recently and there is a substantial need for the development of more application-specific succinct data structures. In this study, we review the recently proposed application-oriented succinct data structures motivated by big data applications in three different fields: privacy-preserving computation in cryptography, genome assembly in bioinformatics, and work space reduction for compressed communications.

Keywords: Sublinear paradigm; Succinct data structures; Survey; Oblivious RAM; de Bruijn graph; Compressed communication; Work space reduction (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s12626-019-00045-1

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