Abstract
Abstract: Due to its decentralised structure, blockchain technology has acquired great traction in fields such as banking, business, healthcare, and e-voting due to its decentralised nature. Because of the difficulty of lesser throughput, many blockchain systems have sought efficiency enhancements. Mathematical models such as Markov processes, queuing theory, and game theory are employed to analyze various aspects of blockchain systems, including mining processes, consensus mechanisms, and overall performance. This paper focuses on using M/M/1 queuing theory to analyze blockchain mining processes, utilizing the Raft algorithm for consensus. A simulation done by using python is also provided
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