5.9.1 Transaction Throughput: Evaluating Network Performance and Scalability
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Last updated
Last updated
Transaction Throughput, typically abbreviated as TPS (Transactions Per Second), serves as a crucial metric gauging a network's capability to process and manage transactions within a specified timeframe. Essentially, it quantifies the total number of transactions executed per second on a network, offering a snapshot of its processing power and efficacy.
While TPS offers a quantitative measure of the performance of individual clusters, it doesn't singularly define the network’s holistic capacity and performance. Several pivotal factors intertwine to delineate the comprehensive performance profile of the network:
Integration Capacity: The network’s proficiency in assimilating new clusters seamlessly.
Inter-Cluster Communication Efficiency: Ensuring that clusters communicate and synchronize effectively to maintain network integrity and cohesiveness.
Network Stability and Security: Ascertaining that the network remains secure and stable even as it scales.
In our computational model, TPS is calculated utilizing the following formula:
This yields an average TPS for each month, furnishing insights into the temporal transaction processing capability of the network.
As long as the graph above shows a low number of TPS, it should not be interpreted as the maximum possible characteristic of DGT, it is simply the average number of transactions at which the model parameters were calculated. The assessment shows that even at such modest values, the network shows its economic efficiency. It's crucial to emphasize that TPS, while being a vital metric, is merely a singular facet in a network’s overarching performance and scalability narrative, especially within hybrid cluster-based networks. A nuanced and multi-faceted approach, considering various metrics and aspects, provides a more comprehensive and accurate depiction of a network's performance, scalability, and future-readiness. This ensures informed strategic planning and continuous optimization of the network, accommodating evolving demands and ensuring sustained performance and reliability.
