MD-SPN_EMR-Blockchain-IPFS

MD-SPN EMR–Blockchain–IPFS is a calibrated, verified, and fully reproducible simulation dataset (N = 10,000 samples per series) constructed to reproduce, at the level of summary statistics (mean, standard deviation, percentage improvement), the performance evaluation results reported in the paper "Multi-Density SPN Modeling and Simulation for Secure Electronic Medical Record Management using Blockchain and IPFS" (Ben Mesmia, Trifa, Barkaoui). The dataset covers four performance analyses conducted on a Multi-Density Stochastic Petri Net (MD-SPN) model of a decentralized EMR system integrating Blockchain and IPFS: - Execution time comparison of four MD-SPN adjacent algorithms (Resource Management, Credential Management, Source Testing, Authentication), before and after optimization. - Feature coverage comparison(Security, Performance, Predictive Resource Management) between the proposed MD-SPN framework and three related works. - Performance metrics comparison(Latency, Throughput, Query Efficiency, Security/Integrity) across the same related works. - 3D comparison of execution time, throughput, and latency reduction between MD-SPN and the three baseline approaches. Each series was generated via truncated-Normal resampling explicitly calibrated so that its empirical mean matches exactly the corresponding value reported in the paper, and independently verified by recomputation at generation time. The dataset is released to make the paper's results independently reproducible, re-analyzable, and reusable, in line with FAIR data principles.