Sublinear Algorithms for Big Data Applications

1. Auflage 2015
ISBN: 978-3-319-20447-5
Verlag: Springer International Publishing

Buch, Englisch, 85 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 166 g

Reihe: SpringerBriefs in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Han, Zhu

Wang, Dan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Datenbankprogrammierung
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken

Inhaltsverzeichnis

Introduction.- Basics for Sublinear Algorithms.- Applications for Wireless Sensor Networks.- Applications for Big Data Processing.- Applications for a Smart Grid.- Concluding Remarks.