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Sublinear Algorithms for Big Data Applications

Sublinear Algorithms for Big Data Applications by Dan Wang
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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.
Springer International Publishing; July 2015
94 pages; ISBN 9783319204482
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Title: Sublinear Algorithms for Big Data Applications
Author: Dan Wang; Zhu Han
 
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ISBNs
9783319204475
9783319204482