Developing a High-Performance Process Mining Library with Java and Python Bindings in Rust
CoRR(2024)
摘要
The most commonly used open-source process mining software tools today are
ProM and PM4Py, written in Java and Python, respectively. Such high-level,
often interpreted, programming languages trade off performance with memory
safety and ease-of-use. In contrast, traditional compiled languages, like C or
C++, can achieve top performance but often suffer from instability related to
unsafe memory management. Lately, Rust emerged as a highly performant, compiled
programming language with inherent memory safety. In this paper, we describe
our approach to developing a shared process mining library in Rust with
bindings to both Java and Python, allowing full integration into the existing
ecosystems, like ProM and PM4Py. By facilitating interoperability, our
methodology enables researchers or industry to develop novel algorithms in Rust
once and make them accessible to the entire community while also achieving
superior performance.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要