A millions of data has been produce by cross-organizational research and collaborations must be managed, shared and analyzed. Data grid is a useful technique to solve these tasks that applicable to process the large number of data produced by scientific experiments. It also enables an organization to operate and manage distributed resources over the internet as a secure, robust, and flexible infrastructure. Some problems must be considered in managing data grid such as reliability and availability of the data to the user access, network latency, failures or malicious attacks during execution and etc. The replication strategy is the solution to solve these problems that can minimize the time access to the data by creating many replicas and storing replicas in appropriate locations. In this paper, we present some reviews on the existing dynamic replication replacement strategies due to the limited storage used on data grid and also to improve the management of data grid. It is shown that replication techniques able to improve availability and reliability of data, network latency, bandwidth consumption, fault tolerance and etc in data grid environments.
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