Sustainable Data Placement Strategy for Energy-Efficient Cloud Storage and Enhanced Performance

In cloud computing, data replication is essential for fault tolerance and data availability. However, many current methods overlook addressing green sustainability concerns, such as system performance and energy efficiency. In this paper, we propose a sustainable data placement strategy (SDPS) that strategically places replicas in cloud storage environments to optimize energy consumption, improve performance, and reduce carbon emissions in cloud storage environments. Specifically, our approach aims to improve response time and decrease replication time, two crucial performance metrics that contribute to a secure and eco-friendly environment. Using comparative experiments with CloudSim, we verified our approach by comparing it to well-known methods such as Dynamic Placement with Replica Selection (DPRS) and Replication Strategy using Data Center Selection Mechanism (RS-DCSM). Significant gains were shown by the experimental results, which included a reduction in average replication time of approximately 12% compared to DPRS and 24% compared to RS-DCSM. Comparatively, substantial improvement, 12% faster than DPRS and 22% quicker than RS-DCSM for average response time. Consequently, this research contributes to the field of green computing in cloud replication environments by efficiently reducing process overheads and preserving energy for sustainable ICT systems.