Ping Chen, Jianlan Liu, Xing Liu, Ruiying Zheng, Yongyan Pan
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Research on Tiered Storage Method for Big Data of Virtual Information Based on Cloud Computing
In the context of big data, the rapid growth of information makes data storage more difficult. Hierarchical storage technology dynamically divides data into multiple tiers of hot data and cold data according to the data usage frequency, and distributes them in storage devices with different access rates. Hierarchical storage technology can achieve higher performance of service response and reliability. It stores data in different tiers of media, and data migration is done in different tiers of media according to the access heat range of data to make the data properly distributed in the storage pool. This paper studies the tiered storage technology of virtual information in cloud computing environment to give full play to the advantages of tiered storage and improve the access rate and recovery effect of hot data.