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arXiv · 2508.04157

A Generic Framework for Optimization in Blockchain Simulators

Hou-Wan Long·Yujun Pan·Xiongfei Zhao·Yain-Whar Si
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Abstract

As blockchain technology rapidly evolves, researchers face a significant challenge due to diverse and non-standardized simulation parameters, which hinder the replicability and comparability of research methodologies. This paper introduces a Generic Framework for Optimization in Blockchain Simulators (GFOBS), a comprehensive and adaptable solution designed to standardize and optimize blockchain simulations. GFOBS provides a flexible platform that supports various optimization algorithms, variables, and objectives, thereby catering to a wide range of blockchain research needs. The paper's key contributions are threefold: the development of GFOBS as a versatile tool for blockchain simulation optimization; the introduction of an innovative optimization method using warm starting technique; and the proposition of a novel concurrent multiprocessing technique for simultaneous simulation processes. These advancements collectively enhance the efficiency, replicability, and standardization of blockchain simulation experiments.

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Hou-Wan Long, Yujun Pan, Xiongfei Zhao, Yain-Whar Si. 2025-08-06. A Generic Framework for Optimization in Blockchain Simulators. https://arxiv.org/abs/2508.04157

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