Big Data Platforms and Applications

Case Studies, Methods, Techniques, and Performance Evaluation
1. Auflage 2021
ISBN: 978-3-030-38835-5
Verlag: Springer International Publishing

Buch, Englisch, 290 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 629 g

Reihe: Computer Communications and Networks

This book provides a review of advanced topics relating to the theory, research, analysis and implementation in the context of big data platforms and their applications, with a focus on methods, techniques, and performance evaluation.

The explosive growth in the volume, speed, and variety of data being produced every day requires a continuous increase in the processing speeds of servers and of entire network infrastructures, as well as new resource management models. This poses significant challenges (and provides striking development opportunities) for data intensive and high-performance computing, i.e., how to efficiently turn extremely large datasets into valuable information and meaningful knowledge.

The task of context data management is further complicated by the variety of sources such data derives from, resulting in different data formats, with varying storage, transformation, delivery, and archiving requirements. At the same time rapid responses are neededfor real-time applications. With the emergence of cloud infrastructures, achieving highly scalable data management in such contexts is a critical problem, as the overall application performance is highly dependent on the properties of the data management service.

Zielgruppe

Research

Autoren/Hrsg.

Neagu, Gabriel

Pop, Florin

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Zeichen- und Zahlendarstellungen
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management

Inhaltsverzeichnis

1. Data Center for Smart Issues: Energy and Sustainability Issue.- 2 Apache Spark for Digitalization, Analysis and Optimization of Discrete Manufacturing Process.- 3. An Empirica Study on Teleworking among Slovakia's Office-Based Academics.- 4. DSS for Pro-Active Flood Management of Water Reservoir Systems.- 5. exhiSTORY: Small Self-Organizing Exhibits.- 6. IoT Cloud Design Patterns.- 7. Cloud-based mHealth Streaming for IoT Processing.- 8. A System for Monitoring Water Quality Parameters in Rivers: Challenges and Solutions.

Über Autor(innen)

Dr. Florin Pop is a Professor at the Department of Computer Science and Engineering at the University Politehnica of Bucharest, Romania and a Senior Researcher (1st Degree) at the Department of Intelligent and Distributed Data Intensive Systems at the National Institute for Research and Development in Informatics, Bucharest, Romania.

Dr. Gabriel Neagu is a Senior Researcher (1st Degree) at the Department of Intelligent and Distributed Data Intensive Systems at the National Institute for Research and Development in Informatics, Bucharest, Romania.