Multi-Factor Replica Placement Strategy for Resource Failure Extenuation in Cloud Replication Environment

Cloud replication strategies have become the evolving technology for managing the growing volume and variety of data in cloud storage. Delay in data access and data loss can affect overall system performance, which is why cloud providers often rely on replication strategies to store multiple copies of data in different locations. This approach ensures the availability of many data copies, swift responses, and fault-resilience while maintaining costs affordable for both users and providers. The inevitable main challenges in cloud replication strategies are to guarantee data is continuously accessible, whilst network consumption is reduced. To prevent such issues, an effective replication strategy needs to be established in a cloud environment to enhance overall performance. This study presented a novel Multi-factor Replica Placement Strategy (MRPS) that was able to reduce the risk of resource failure in cloud replication systems effectively. The performance of the suggested algorithm was evaluated through a comprehensive experiment using the CloudSim simulator, and its performance in choosing and replicating data files for user requests was measured. On average, MRPS achieved 16% more data availability compared to DPRS and 17% compared to RS-DCSM. Meanwhile, there is a 26% improvement in network usage by MRPS, surpassing DPRS, and a 23% improvement, surpassing RS-DCSM. These results provide strong evidence of the success of the proposed MRPS and improved performance. By surmounting the problems associated with data replication in cloud environments, this research seeks to provide valuable contributions to replica placement strategies.