Computer Science ›› 2018, Vol. 45 ›› Issue (1): 196-199.doi: 10.11896/j.issn.1002-137X.2018.01.034

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Big Data Dynamic Migration Method Based on Global Load Balancing in Cloud Environment

ZHANG Yong, ZHANG Jie-hui and LIU Bin   

  • Online:2018-01-15 Published:2018-11-13

Abstract: In the cloud environment,the data load equalization is slow and the data skew.In order to reduce the cost of data transfer,a global load balancing method of dynamic data migration under the cloud environment was proposed.First,load balancing model was constructed,data migration cost was computed in load balancing,and the minimum cost of data migration model was given.The cost of data transfer was calculated,and the utilization ratio of virtual machine data load was evaluated so that the data overloaded server can be transferred to the data server.The simulation results show that the proposed method improves the speed and efficiency of data load balancing,reduces the cost of data migration,and improves the utilization ratio of resources.

Key words: Load balancing,Resource utilization ratio,Data migration

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