Big Data Analytics Using Cloud Computing Based Frameworks for Power Management Systems: Status, Constraints, and
Ahmed Hadi Ali Al-Jumaili1,2, Ravie Chandren Muniyandi1, Mohammad Kamrul Hasan1
1Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia.
Sensors (Basel, Switzerland)
|March 30, 2023
Summary
Cloud computing addresses challenges in power management systems, improving data mining and real-time monitoring. This approach enhances efficiency and overcomes limitations of traditional parallel processing for big data analysis.
Area of Science:
- Computer Science
- Electrical Engineering
- Data Science
Background:
- Traditional parallel computing faces challenges in power management systems, including execution time, complexity, and delays in condition monitoring.
- Data management is a critical bottleneck in processing diverse power system data like consumption, weather, and generation.
- Existing methods struggle with the scale and speed required for effective data mining and prediction.
Purpose of the Study:
- To review cloud computing architectures for efficient data management in power systems.
- To analyze cloud solutions within the context of big data and emerging parallel programming models.
- To propose a new design concept for real-time big data management in power systems.
Main Methods:
- Review of cloud computing concepts and architectures for power system monitoring.
- Discussion of cloud solutions for big data, including Hadoop, Spark, and Storm.
- Modeling of key performance metrics for cloud computing applications in big data analysis.
Main Results:
- Cloud computing offers a viable solution to overcome the limitations of traditional parallel processing in power management.
- Emerging parallel programming models show advancements and constraints in handling big data.
- The study models key performance metrics for competitiveness in big data analysis.
Conclusions:
- Cloud computing architectures can meet multi-level real-time requirements for improved power system monitoring and performance.
- Recommendations are provided for cloud computing infrastructure and methods for managing real-time big data.
- The proposed design concept aims to solve data mining challenges in power management systems.
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