Abstract:

Aiming at the lower performance problem of the existing metadata management methods in cloud computing,an efficient scalable metadata management method is proposed in cloud computing.Firstly,a dynamic binary mapping tree is used to achieve the precise positioning of the metadata server.Secondly,a lazy update technique is adopted to dynamically update the binary mapping tree.Finally,a dynamic K tree is proposed to improve the speed of selecting migrated metadata during MDS splitting.The experimental results show that the method can effectively improve the efficiency of the scalable metadata management method in cloud computing.

Key words: cloud computing;metadata;efficient;scalable