Sublinear Algorithms for Big Data Applications
Dan Wang, Zhu Han
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.
年:
2015
出版:
2015
出版社:
Springer International Publishing
语言:
english
页:
85
ISBN 10:
3319204475
ISBN 13:
9783319204475
系列:
SpringerBriefs in Computer Science
文件:
PDF, 1.89 MB
IPFS:
,
english, 2015
因版权方投诉,本书无法下载