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Modelling of blockchain based queuing theory implementing preemptive and non-preemptive algorithms

Author

Listed:
  • Meenakshi Kandpal

    (KIIT Deemed to Be University)

  • Niharika Keshari

    (MNNIT Allahabad)

  • Amrendra Singh Yadav

    (ABV-Indian Institute of Information Technology and Management)

  • Mohit Yadav

    (Malaviya National Institute of Technology)

  • Rabindra Kumar Barik

    (KIIT Deemed to Be University)

Abstract

Blockchain is one of the leading technologies, and it has already begun to transform several industries and areas, including banking, business, healthcare, smart homes, and the Internet of Things. Its benefits include a decentralized network, robustness, availability, stability, anonymity, audibility, and accountability. As Blockchain applications proliferate, it becomes clear that most of the effort is focused on their engineering implementation. However, there has yet to be much focus on the theoretical side. This paper simulated the mining process in Blockchain-based systems using queuing theory. In order to simulate Bitcoin, one of the most well-known cryptocurrencies, we used actual data from Bitcoin and JSIMgraph’s M/M/n/L queuing system. We used genuine Bitcoin data and JSIMgraph’s M/M/n/L queuing system to replicate Bitcoin, one of the most well-known cryptocurrencies. We produced realistic results that are applicable and will pave the way for future theoretical research on Blockchain-based Queuing systems. Our study implemented both non-preemptive algorithms (such as First Come First Serve, Longest Job First, Shortest Job First, and Last Come First Serve) and preemptive algorithms (such as Round Robin). Further, the average queue waiting time of transactions under these algorithms is also compared.

Suggested Citation

  • Meenakshi Kandpal & Niharika Keshari & Amrendra Singh Yadav & Mohit Yadav & Rabindra Kumar Barik, 2024. "Modelling of blockchain based queuing theory implementing preemptive and non-preemptive algorithms," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(6), pages 2554-2570, June.
    • Handle: RePEc:spr:ijsaem:v:15:y:2024:i:6:d:10.1007_s13198-024-02276-0
    DOI: 10.1007/s13198-024-02276-0
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    References listed on IDEAS

    as
    1. Fan-Qi Ma & Rui-Na Fan, 2022. "Queuing Theory of Improved Practical Byzantine Fault Tolerant Consensus," Mathematics, MDPI, vol. 10(2), pages 1-12, January.
    2. Yves Adou & Ekaterina Markova & Yuliya Gaidamaka, 2022. "Modeling and Analyzing Preemption-Based Service Prioritization in 5G Networks Slicing Framework," Future Internet, MDPI, vol. 14(10), pages 1-16, October.
    3. Wenjuan Lian & Qi Fan & Bin Jia & Yongquan Liang, 2020. "A Blockchain Prediction Model on Time, Value, and Purchase Based on Markov Chain and Queuing Theory in Stock Trade," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-13, November.
    4. Vasiliy Elagin & Anastasia Spirkina & Andrei Levakov & Ilya Belozertsev, 2020. "Blockchain Behavioral Traffic Model as a Tool to Influence Service IT Security," Future Internet, MDPI, vol. 12(4), pages 1-12, April.
    Full references (including those not matched with items on IDEAS)

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