DSP, a Plug-and-Play Process-Based Distributed Algorithm Simulation Platform

In this paper, we propose DSP (Distributed algorithm Simulation Platform), a novel process-based distributed algorithm simulation platform to simulate real distributed systems for the design and verification of distributed algorithms. DSP consists of computer processes, and each process simulates an individual distributed node. A DSP process is mainly composed of a communication module, a computation module, an internal storage module, and an external interaction module. DSP is a flexible, versatile, and scalable simulation platform. It supports the testing of applications in various fields. Small-scale experiments can be done with a single personal computer, while large-scale experiments can be carried out through cloud servers. The greatest highlight of DSP is that it is plug and play, where nodes can be freely added or deleted during the simulation process. DSP is now open-sourced on GitHub, https://github.com/Wales-Wyf/Distributed-Algorithm-Simulation-Platform-DSP-2.0.