Big Data Platforms and Applications: Case Studies, Methods, Techniques, and Performance Evaluation
- Length: 307 pages
- Edition: 1
- Language: English
- Publisher: Springer
- Publication Date: 2021-11-08
- ISBN-10: 3030388352
- ISBN-13: 9783030388355
- Sales Rank: #4699199 (See Top 100 Books)
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 needed for 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.
Cover Front Matter 1. Data Center for Smart Cities: Energy and Sustainability Issue 2. Apache Spark for Digitalization, Analysis and Optimization of Discrete Manufacturing Processes 3. An Empirical Study on Teleworking Among Slovakia’s Office-Based Academics 4. Data and Systems Heterogeneity: Analysis on Data, Processing, Workload, and Infrastructure 5. exhiSTORY: Smart Self-organizing Exhibits 6. IoT Cloud Security Design Patterns 7. Cloud-Based mHealth Streaming IoT Processing 8. A System for Monitoring Water Quality Parameters in Rivers. Challenges and Solutions 9. A Survey on Privacy Enhancements for Massively Scalable Storage Systems in Public Cloud Environments 10. Energy Efficiency of Arduino Sensors Platform Based on Mobile-Cloud: A Bicycle Lights Use-Case 11. Cloud-Enabled Modeling of Sensor Networks in Educational Settings 12. Methods and Techniques for Automatic Identification System Data Reduction 13. Machine-to-Machine Model for Water Resource Sharing in Smart Cities Back Matter
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