Sublinear Algorithms for Big Data Applications

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Synopsis

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.

Book details

Edition:
1st ed. 2015
Series:
SpringerBriefs in Computer Science
Author:
Dan Wang, Zhu Han
ISBN:
9783319204482
Related ISBNs:
9783319204475
Publisher:
Springer International Publishing
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2019-09-09
Usage restrictions:
Copyright
Copyright date:
2015
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Communication, Computers and Internet, Nonfiction, Technology