Abstract
Data retention, regulatory compliance, and security requirements are increasing by explosive information growth and government regulations. Information Lifecycle Management (ILM) has gotten a lot of attention as a solution for these requirements recently. The goal of ILM is to ensure that information is stored on the most effective and appropriate storage medium depending on the service level required in the phase of the life of information. And the goal of our research is to automate the ILM process using “policy indicating managers' intension. This paper proposes the method for description and interpretation of the policy.
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