Big Data Platforms and Applications: Case Studies, Methods, Techniques, and Performance Evaluation by Florin Pop 9783030388362 3030388360

Big Data Platforms and Applications: Case Studies, Methods, Techniques, and Performance Evaluation Florin Pop – Ebook Instant Download/Delivery ISBN(s): 9783030388355, 3030388352, 9783030388362, 3030388360

Product details:

• ISBN 10: 3030388360
• ISBN 13: 9783030388362
• Author: Florin Pop

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.

Table contents:

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

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