Multi-objective Sparrow Search Optimization for Task Scheduling in Fog-Cloud-Blockchain Systems

In this paper, we first design a system that integrates a blockchain network into a fog-cloud environment to improve the transparency as well as avoid the attack from suspicious parties. We identify task scheduling as the most prominent and crucial issue in such a system and model it as a multi-objective optimization problem. To solve this problem, we propose a multi-objective version of the Sparrow Search Algorithm (SSA), called MO-SSA. Our experimental studies compare MO-SSA with other well-known optimization algorithms (NSGA-II, NSGA-III, and MO-ALO). Results show that MO-SSA archives better results than most of the baseline algorithms on several performance metrics.