International Journal of Science, Engineering and TechnologyAuthors: Dr.D.Balasubramanian, Dr. Megala.R
Abstract: Cloud computing has become a dominant paradigm for delivering scalable and on-demand computing services. Efficient resource allocation is essential for maintaining service quality, maximizing infrastructure utilization, and improving provider profitability. Most contemporary cloud resource management systems employ profit-driven decision-making models that prioritize economic gains and operational efficiency. However, these approaches often neglect fairness, energy efficiency, sustainability, and Quality of Service (QoS) guarantees. This paper critically analyzes the limitations of profit-oriented resource allocation strategies in cloud environments and evaluates their impact on SLA compliance, energy consumption, and user satisfaction. A sustainable multi-objective resource allocation framework is proposed to integrate profit optimization with QoS assurance and energy-aware scheduling. Experimental analysis using CloudSim demonstrates that hybrid multi-objective models outperform purely profit-driven approaches in terms of SLA reduction, energy efficiency, and workload fairness. The proposed framework provides a balanced and sustainable solution for future cloud infrastructures.,
DOI: http://doi.org/10.5281/zenodo.20404369
