Sublinear Algorithms for Big Data Applications

Nonfiction, Computers, Networking & Communications, Hardware, Database Management, General Computing
Cover of the book Sublinear Algorithms for Big Data Applications by Dan Wang, Zhu Han, Springer International Publishing
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Author: Dan Wang, Zhu Han ISBN: 9783319204482
Publisher: Springer International Publishing Publication: July 16, 2015
Imprint: Springer Language: English
Author: Dan Wang, Zhu Han
ISBN: 9783319204482
Publisher: Springer International Publishing
Publication: July 16, 2015
Imprint: Springer
Language: English

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.

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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.

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