Resonance: Transaction Fees for Heterogeneous Computation
Maryam Bahrani, Naveen Durvasula

TL;DR
Resonance introduces a novel transaction fee mechanism for heterogeneous blockchain networks, enabling efficient, fair, and flexible transaction processing with diverse user valuations and node costs.
Contribution
It presents a new market-based fee mechanism that handles heterogeneity and complex constraints, ensuring efficiency, fairness, and computational tractability.
Findings
Achieves efficient outcomes at Nash equilibria.
Ensures the mechanism is budget-balanced and individually rational.
Supports complex transaction types with multiple nodes.
Abstract
Blockchain networks are facing increasingly heterogeneous computational demands, and in response, protocol designers have started building specialized infrastructure to supply that demand. This paper introduces Resonance: a new kind of transaction fee mechanism for the general two-sided market setting (with users on one side and nodes on the other), where both sides of the market exhibit a high degree of heterogeneity. We allow users submitting transactions to have arbitrary valuations for inclusion, nodes responsible for executing transactions to incur arbitrary costs for running any bundle of transactions, and further allow for arbitrary additional constraints on what allocations are valid. These constraints can, for example, be used to prevent state conflicts by requiring transactions that utilize the same part of the network's state to not be executed in parallel. They also enable…
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Machine Learning in Materials Science · Neural Networks and Applications
