BACOA: Meta Heuristic Driven Hybrid Scheduling Algorithm for Improved Resource Allocation in Cloud Environment

Energy-aware scheduling is a critical aspect of optimizing task execution in cloud computing environments, where efficient resource management can significantly reduce operational costs. This paper introduces the Butterfly Ant Colony Optimization Algorithm (BACOA), a novel hybrid approach designed to enhance local and global search capabilities. BACOA combines the exploratory strength of the Butterfly Optimization Algorithm (BOA) and the exploitation capabilities of Ant Colony Optimization (ACO) to minimize energy consumption, communication cost, and computation cost in Task Scheduling (TS). By balancing these parameters, BACOA achieves a more energy-efficient task scheduling process while reducing the…