Journal of Guangdong University of Technology ›› 2018, Vol. 35 ›› Issue (03): 95-99.doi: 10.12052/gdutxb.180013

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Design for Migration Algorithm Based on Gray Model for Ocean Big Data

Chen Zuo-cong   

  1. School of Marine Information Engineering, Hainan Tropical Ocean University, Sanya 572022, China
  • Received:2018-01-15 Online:2018-05-09 Published:2018-05-24
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Abstract: Aiming at the big amount of data in the big data environment and the dynamical change in time, a migration algorithm for data based on cloud memory is proposed. Firstly, the big data in ocean environment is represented; the load prediction algorithm based on the prediction of the gray model, where the algorithm can predict the load for the next time based on the historical load information. The data migration algorithm for migrating the load among the servers is proposed on the condition of the setting the smallest and biggest load threshold. In the environment of the Cloudsim, the simulated result shows this method can balance the load in the ocean big data, with the high load balance and load balance efficiency. Compared with the other methods, it has a better load balance ability.

Key words: cloud memory, gray model, migration algorithm, load balance, prediction

CLC Number: 

  • TP391
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