Abstract :
Cloud storage (CS) is a type of data storage system widely accepted in information technology communities. Users of CS require reliable and continuous access to data on their stored data storage. Therefore, this study presents a data backup method for data retrieval and access from distinct places based on the access frequencies of a shared folder. The proposed method improves the quality of CS services by studying the data duplication of a CS system. This approach aims to minimize the data access time, which is subject to the required transmission bandwidth and location of data storage. Therefore, this study develops a network model, access frequency model, delay model, and budget to develop a new duplication mechanism. This study proposes a bar center method and evaluates its performance to determine how well the predicted CS access time outperforms the related methods.
Keywords :
cloud computing; data handling; information retrieval; storage management; CS service quality; access frequency model; bar center method; cloud storage; data backup method; data replication planning; data retrieval; data storage location; data storage system; delay model; duplication mechanism; information technology community; network model; transmission bandwidth; Availability; Cloud computing; Computer network reliability; Delays; Distributed databases; Servers; Backup; cloud storage; duplication; frequency; quality of service;