Abstract: Given the enormous volume of information generated online, leveraging fog/cloud blockchain networks is a priority. Nevertheless, there are two challenges that providers are struggling to sort out. One is the system’s security against malicious clients, and the other is the designation of the executing unit to accommodate reasonable expenses. Integrating blockchain into the fog/cloud system can be highly beneficial for addressing this issue. In this paper, we propose an adaptive Multiobjective African Vulture Optimization Algorithm (AVOA) that uses the Beta-Hill Climbing algorithm to schedule tasks in Bag-of-Tasks applications across fog, cloud, and blockchain systems. Task scheduling plays a crucial role in resource allocation; therefore, this approach is particularly relevant. To solve the multi-objective problems, the algorithm is adapted to the Pareto dominance mechanism, allowing it to address them with maximum efficiency. To evaluate the performance of the proposed method, a comprehensive experimental study was conducted, demonstrating its superiority in this role.

Key words: Fog-cloud integrated blockchain system')">Fog-cloud integrated blockchain system, African vulture optimization algorithm, Multi-objective, Beta-Hill Climbing algorithm