Internet scale distributed consensus takes advantage of randomized algorithms to cope with functional resilience, reliability and access while accomplishing decentralized agreement at expenses of costly unicast communication. This paper provides experimental insights on randomized communication patterns for distributed consensus systems. We define, measure and approximate communication overhead against key performance indicators like latency and communication overhead, leading to a discussion on how network innovations may mitigate the identified issues. While this paper does not promote specific solutions or DLT implementations, our initial insights invite the wider community working on DLT and network solutions alike to deepen those insights to aid future research and development into solutions, concepts, and technologies.
CITATION STYLE
Guzman, D., Trossen, D., McBride, M., & Fan, X. (2022). Insights on Impact of Distributed Ledgers on Provider Networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13733 LNCS, pp. 3–17). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-23495-8_1
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