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In the cloud computing environment, data replication strategy (DRS) is used to improve data access. Related studies have proposed data replication strategies. The performances of these strategies are closely related to the users' access patterns, and work optimally for a particular data access pattern. However, as the data access patterns become more flexible and unpredictable, it is difficult to manage them with traditional replication strategies. Given this circumstance, this paper proposes an algorithm that detects changes in a user's data access pattern and dynamically applies an optimal replication strategy. The proposed algorithm has the advantage of maintaining an optimal performance by responding to various data access patterns. We tested the proposed algorithm and validated its effectiveness.