Evaluating the Performance of a Multi-Organizational E-Government Platform on Hyperledger Fabric with Fuzzy Logic-Enhanced Multi-Channel Connectivity

In the domain of e-government, the integration of multiple organizations is imperative for the effective delivery of public services through online platforms. This study examines a Hyperledger Fabric blockchain platform, which interconnects six organizations via a network of four distinct communication channels. A fuzzy logic-based mechanism has been employed to determine the optimal channel for executing transactions, contingent on client volume. A series of experiments were conducted to assess the system's performance in terms of throughput, latency, and scalability. These experiments varied parameters including transaction rates, block sizes, the number of participating organizations, and client count. It was observed that a multi-channel architecture significantly outperformed a single-channel setup in enhancing throughput and reducing latency. The findings indicate that even with the expansion to six organizations and an increase in clients to two hundred, the deployment of a multi-channel structure only resulted in marginal throughput degradation and a modest latency increment when contrasted with a single-channel framework. Moreover, the strategic distribution of block sizes across the four channels was found to substantially bolster the scalability of the system. This facilitated the inclusion of additional clients and organizations with minimal impact on the overall system performance.