Sublinear Algorithms for Big Data Applications
Series: SpringerBriefs in Computer Science;
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Product details:
- Edition number 1st ed. 2015
- Publisher Springer International Publishing
- Date of Publication 20 August 2015
- Number of Volumes 1 pieces, Book
- ISBN 9783319204475
- Binding Paperback
- No. of pages85 pages
- Size 235x155 mm
- Weight 454 g
- Language English
- Illustrations XI, 85 p. 30 illus., 20 illus. in color. Illustrations, black & white 0
Categories
Long description:
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.
MoreTable of Contents:
Introduction.- Basics for Sublinear Algorithms.- Applications for Wireless Sensor Networks.- Applications for Big Data Processing.- Applications for a Smart Grid.- Concluding Remarks.
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