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Modelling of queuing systems using blockchain based on Markov process for smart healthcare systems
Shadab Siddiqui1, Shahin Fatima1, Aleem Ali2
1Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Hyderabad, Telangana, 500075, India.
Scientific Reports
|May 18, 2025
Summary
This study applies queueing theory and Markov chains to optimize blockchain systems, particularly for smart healthcare data processing. The research introduces a novel Markovian-batch-service framework for enhanced system performance analysis.
Area of Science:
- Computer Science
- Applied Mathematics
- Healthcare Technology
Background:
- Queueing theory provides essential metrics for system efficiency and optimization.
- Blockchain technology offers significant benefits like security, reliability, and anonymity across various applications.
- Smart healthcare architectures increasingly rely on blockchain for managing substantial patient data.
Purpose of the Study:
- To leverage queueing theory and Markov chains for analyzing blockchain system performance.
- To assess the efficiency of smart healthcare architectures utilizing blockchain technology.
- To develop a "Markovian-batch-service" queueing framework for reliable simulations.
Main Methods:
- Utilizing queueing theory and mathematical analysis for effectiveness metrics.
- Formulating optimization models with significant data measures for system efficiency.
- Applying Markov chains to establish queueing theory for blockchain systems.
- Devising a "Markovian-batch-service" queueing framework to model input and processing parameters.
Main Results:
- Established queueing theory for blockchain systems using Markov chains.
- Assessed the performance of smart healthcare architecture.
- Developed a "Markovian-batch-service" framework for reliable queuing network simulations.
- Demonstrated the indispensability of queueing models for efficient data processing in smart healthcare.
Conclusions:
- Queueing theory and Markov chains are crucial for optimizing blockchain systems, especially in data-intensive fields like smart healthcare.
- The proposed "Markovian-batch-service" framework provides a robust method for performance analysis and simulation of blockchain-based systems.
- Integrating queueing models enhances the efficiency and reliability of smart healthcare architectures leveraging blockchain technology.
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