Abstract: A huge number of largcscale intensive data have to be stored in distributed data centers. Nowadays, under the cloud environment, large-scale data storage can be better supported. However, a challenging issue is that the transmission of intensive data between cloud data centers may cause low efficiency of data access. Also, the bottleneck of access on data center may be derived from the unbalanced capacity of data visit in unit interval. We first proposed a model based on data flow between larg}scale intensive data. Afterwards,a data allocation algorithm was presented to guarantee the load balance of data centers while considering dependencies between intensive data. Extensive experiments confirm that our solution has better performances than conventional approaches particularly in load balance.

Key words: Data allocation, Cloud computing, I_argcscale intensive data, Load balance, Data dependency