Abstract
Cloud storage has become a widely accepted data storage model in recent years. With the development of cloud storage applications in various fields, cloud storage security issues have aroused people’s special attention. In this paper, taking aim at ensuring data reliability and satisfying QoS requirements for different users, a method named hierarchical storage-based data disaster recovery strategy was proposed. Cloud computing fault tolerance model is constructed by grading the storage resources of cloud service providers according to the service level to meet the different QoS requirements of the cloud users. On this basis, some storage levels are classified to improve resource utilization. The correctness of the classification strategy is analyzed theoretically, finally, the effectiveness of the proposed strategy is validated by emulation experiment. This paper has the theoretical and practical value to improve the overall experience of users.
Highlights
As a new Internet-based service model, cloud storage has attracted more and more attention [1]
In 2012, the Amazon data center in North Carolina was struck by a storm over the eastern United States, shutting down the Amazon Web Services (AWS) cloud service and affecting customers such as Netflix, Pinterest, and Instagram [3]
Disaster recovery backup storage resources is important. It has drawn the attention of industry and academia through the special data disaster recovery technology to ensure the high availability of data [6]
Summary
As a new Internet-based service model, cloud storage has attracted more and more attention [1]. Disaster recovery backup storage resources is important In recent years, it has drawn the attention of industry and academia through the special data disaster recovery technology to ensure the high availability of data [6]. Data redundancy and geographical dispersion are used to recover data after a disaster Distributed storage systems such as Amazon S3, Google and other file systems default to 3-Replicas data backup mechanism [7].Cloud service providers can build their own disaster recovery center by purchasing and maintaining a large amount of hardware and software resources to ensure that different data backups can be stored in geographically isolated data centers. We propose a disaster recovery storage strategy—Hierarchical Storage Based Data Disaster Recovery Strategy (HSBDDRS), which takes into account both the QoS requirements of user tasks and the storage rates of cloud service providers. The main work includes: 1) Proposing a cloud storage resource ranking strategy to meet user QoS requirements; 2) Proposing a storage resource hierarchical classification strategy to improve the storage resource utilization of cloud service providers; 3) Considering the user’s QoS requirements and resource utilization, a hierarchical and classified hybrid storage model is proposed; 4)Based on customer satisfaction and cloud Service provider resource utilization as the goal, the storage resource hierarchical classification strategy is analyzed and compared with several other storage strategies through simulation experiments
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