Abstract
Aiming at establishing a shared storage environment, cloud storage systems are typical applications of cloud computing. Therefore, data replication technology has become a key research issue in storage systems. Considering the performance of data access and balancing the relationship between replica consistency maintenance costs and the performance of multiple replicas access, the methods of replica catalog design and the information acquisition method are proposed. Moreover, the deputy catalog acquisition method to design and copy the information is given. Then, the nodes with the global replica of the information replicate data resources, which have the high access frequency and the long response time. Afterwards, the Markov chain model is constructed. And a matrix geometric solution is used to export the steady-state solution of the model. The performance parameters in terms of the average response time, finish time, and the replica frequency are given to optimize the number of replicas in the storage system. Finally, numerical results with analysis are proposed to demonstrate the influence of the above parameters on the system performance.
Highlights
In order to further improve data availability in cloud storage systems, data replication technology has become a hot popular topic
If the average response time of hot resource is greater than a pregiven threshold value, it needs to create a replica of the logical resource
Replication is an important factor in storage system
Summary
In order to further improve data availability in cloud storage systems, data replication technology has become a hot popular topic. At the base of the dynamic replication mechanisms mentioned above, literatures [8,9,10] optimized load balance in the storage system. In literature [15], researchers computed the performance in terms of the resource priority and storage space They constructed a reliability analysis model and applied it to the current cloud storage system. In order to increase availability, fault tolerance, and load balancing, the impact of data grid architecture on dynamic replication performance is investigated in literature [16]. Researches above focused on the distribution of a replica and data reliability They did not take the impact of the number of replicas on the cloud storage system performance into account.
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