Sublinear Algorithms for Big Data Applications

Sublinear Algorithms for Big Data Applications
Author :
Publisher : Springer
Total Pages : 85
Release :
ISBN-10 : 9783319204482
ISBN-13 : 3319204483
Rating : 4/5 (483 Downloads)

Book Synopsis Sublinear Algorithms for Big Data Applications by : Dan Wang

Download or read book Sublinear Algorithms for Big Data Applications written by Dan Wang and published by Springer. This book was released on 2015-07-16 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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