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Approximate Sorting of Data Streams with Limited Storage

Farnoud (Hassanzadeh), Farzad and Yaakobi, Eitan and Bruck, Jehoshua (2014) Approximate Sorting of Data Streams with Limited Storage. In: Computing and Combinatorics, COCOON 2014. Lecture Notes in Computer Science. No.8591. Springer , pp. 465-476. ISBN 978-3-319-08782-5.

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We consider the problem of approximate sorting of a data stream (in one pass) with limited internal storage where the goal is not to rearrange data but to output a permutation that reflects the ordering of the elements of the data stream as closely as possible. Our main objective is to study the relationship between the quality of the sorting and the amount of available storage. To measure quality, we use permutation distortion metrics, namely the Kendall tau and Chebyshev metrics, as well as mutual information, between the output permutation and the true ordering of data elements. We provide bounds on the performance of algorithms with limited storage and present a simple algorithm that asymptotically requires a constant factor as much storage as an optimal algorithm in terms of mutual information and average Kendall tau distortion.

Item Type:Book Section
Related URLs:
URLURL TypeDescription
Farnoud (Hassanzadeh), Farzad0000-0002-8684-4487
Yaakobi, Eitan0000-0002-9851-5234
Bruck, Jehoshua0000-0001-8474-0812
Additional Information:© 2014 Springer International Publishing. The authors would like to thank Ryan Gabrys and Yue Li for useful discussions and comments.
Series Name:Lecture Notes in Computer Science
Issue or Number:8591
Record Number:CaltechAUTHORS:20141203-103210856
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:52322
Deposited By: Ruth Sustaita
Deposited On:03 Dec 2014 20:41
Last Modified:10 Nov 2021 19:24

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