An Optimized Replica Distribution Method in Cloud Storage System

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.

Quantitative Analysis and Performance Evaluation of Target-Oriented Replication Strategies in Cloud Computing

“…These algorithms are easy to deploy, while dynamic replica algorithm selects the optimal data node dynamically to store replica based on current available data. These algorithms cannot be easily deployed [111,149].…”

A Searchable Re-encryption Storage Method in Cloud Environment

“…Han et al proposed [5] multi-path data prefetching in mobile cloud storage. Wang et al [6] presented an Optimized Replica Distribution Method (ORDM) in cloud storage system. Chen et al [7] proposed a new metric called joint response time, which not only considers the waiting time when the requested data are unavailable but also the queuing delay and service time when data become available.…”