Sublinear algorithms for big data applications /: Dan Wang, Zhu Han.: [electronic resource]

Wang, Dan; Han, Zhu,

Sublinear algorithms for big data applications / Dan Wang, Zhu Han. [electronic resource]

Wang, Dan (Computer scientist), author.; Han, Zhu, 1974- author.

2015

QA76.9.A43 W35 2015eb

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Title

Sublinear algorithms for big data applications / Dan Wang, Zhu Han. [electronic resource]

Author

Wang, Dan (Computer scientist), author.

ISBN

9783319204482 electronic book
3319204483 electronic book
9783319204475

Published

Cham : Springer, 2015.

Language

English

Description

1 online resource (xi, 85 pages) : illustrations.

Call Number

QA76.9.A43 W35 2015eb

Dewey Decimal Classification

005.1

Summary

The brief focuses on applying sublinear algorithms to manage critical big data challenges. The text offers an essential introduction to sublinear algorithms, explaining why they are vital to large scale data systems. It also demonstrates how to apply sublinear algorithms to three familiar big data applications: wireless sensor networks, big data processing in Map Reduce and smart grids. These applications present common experiences, bridging the theoretical advances of sublinear algorithms and the application domain. Sublinear Algorithms for Big Data Applications is suitable for researchers, engineers and graduate students in the computer science, communications and signal processing communities.

Bibliography, etc. Note

Includes bibliographical references.

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Access limited to authorized users.

Source of Description

Online resource; title from PDF title page (SpringerLink, viewed July 22, 2015).

Added Author

Han, Zhu, 1974- author.

Series

SpringerBriefs in computer science.

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Online Access