1 Data Center for Smart Cities: Energy and Sustainability Issue
1.1 Introduction
1.2 State-of-The-Art Overview
1.3 Methodology
1.3.1 Data Center Facilities and Dataset Description
1.3.2 Data Analysis
1.3.3 Metrics
1.3.4 Energy Waste Analysis
1.4 Results: DC Cluster Energy Consumption
1.4.1 Energy Use by Applications
1.4.2 Energy Analysis of Queues of Jobs
1.4.3 Energy Use by Parallel and Serial Jobs
1.4.4 Assessment of Useful Work
1.4.5 Assessment of Energy Waste
1.4.6 Sustainability Analysis
1.5 Discussion
1.5.1 Energy Efficiency Benefits and Concerns of Jobs Execution in Parallel Mode

1.5.2 Data Center Energy Efficiency Policies and Strategies
1.5.3 Sustainability-Oriented DC
1.6 Conclusion
References
2 Apache Spark for Digitalization, Analysis and Optimization of Discrete Manufacturing Processes
2.1 Introduction
2.2 Background
2.2.1 IoT for Smart Manufacturing Processes
2.2.2 Machine Learning Approaches for Manufacturing Process Analysis
2.2.3 Manufacturing Processes Optimization Literature Approaches
2.2.4 Bio-Inspired Techniques for Tuning the Parameters of Machine Learning Models
2.2.5 Approaches Used in Our Research for the Analysis of the Faults in Manufacturing Processes

2.3 Materials and Methods
2.3.1 Architectural Prototype for Simulating the Manufacturing of FL Series Regulators
2.3.2 Machine Learning Methodology for Detecting Faulty Products in Discrete Manufacturing Processes
2.3.3 Data Preprocessing in KNIME (Konstanz Information Miner)
2.3.4 Discrete Manufacturing Processes Optimization Based on Big Data Technologies
2.4 Results
2.4.1 Description of the Datasets Used in Experiments
2.4.2 Classification Results
2.5 Discussion
2.6 Conclusions
References
3 An Empirical Study on Teleworking Among Slovakia's Office-Based Academics
3.1 Introduction
3.2 Methodology

3.3 Meaning of Telecommuting or Teleworking
3.3.1 Teleworking in Slovakia
3.4 Office-Based Teleworking Results
3.5 Discussion
3.6 Conclusions
References
4 Data and Systems Heterogeneity: Analysis on Data, Processing, Workload, and Infrastructure
4.1 Introduction
4.2 Data Types, Formats, and Models
4.3 Processing Models and Platforms
4.4 Workload Types
4.5 Infrastructure Types
4.6 Conclusion
References
5 exhiSTORY: Smart Self-organizing Exhibits
5.1 Introduction
5.2 The Stories Told by Exhibits
5.3 The Smart Exhibit
5.3.1 Centralized System Control
5.3.2 Automated Exhibit Geolocation