A Generic Framework for Optimization in Blockchain Simulators
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.
Keywords
Cite
@article{arxiv.2508.04157,
title = {A Generic Framework for Optimization in Blockchain Simulators},
author = {Hou-Wan Long and Yujun Pan and Xiongfei Zhao and Yain-Whar Si},
journal= {arXiv preprint arXiv:2508.04157},
year = {2025}
}