The purpose of this thesis was to analyze the performance of blockchain networks, identify key performance parameters and evaluate the effectiveness of a dedicated tool called Hyperledger Caliper. For that purpose, we set up an emulated Ethereum network using Ganache, prepared the corresponding test cases in Caliper and successfully performed the analysis.
The study involves an examination of how an emulated Ethereum network responds to heightened demands, to determine it's operational boundaries. Additionally, we present a practical approach for real-time assessment of blockchain networks, suitable for public networks without causing significant disruption. Our research introduces an indicator capable of swiftly detecting increasing load in blockchain networks, achieving this with minimal delay and cost. This advancement can greatly benefit researchers, developers and users of blockchain networks.
Our findings carry implications beyond this study with direct relevance to the challenges of scalability and performance. As a result, this research contributes to the progression and wider adoption of distributed ledger technologies, thereby facilitating their seamless integration into diverse sectors necessitating secure and transparent data management.
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