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Data migration model based on RAMCloud hierarchical storage architecture
GUO Gang, YU Jiong, LU Liang, YING Changtian, YIN Lutong
Journal of Computer Applications
2015, 35 (12):
3392-3397.
DOI: 10.11772/j.issn.1001-9081.2015.12.3392
In order to achieve the efficient storage and access to the huge amounts of data online, under the hierarchical storage architecture of memory cloud, a model of Migration Model based on Data Significance (MMDS) was proposed. Firstly, the importance of data itself was calculated based on factors of the size of the data itself, the importance of time, the total amount of user access, and so on. Secondly, the potential value of the data was evaluated by adopting users' similarity and the importance ranking of the PageRank algorithm in the recommendation system. The importance of the data was determined by the importance of data itself and its potential value together. Then, data migration mechanism was designed based on the importance of data, The experimental results show that, the proposed model can identify the importance of the data and place the data in a hierarchical way and improved the data access hit rate from the storage system compared with the algorithms of Least Recently Used (LRU), Least Frequently Used (LFU), Migration Strategy based on Data Value (MSDV). The proposed model can alleviate the part pressure of storage and has improved the data access performance.
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