Abstract
Existing data management tools have some limitations such as restrictions to specific file systems or shortage of transparence to applications. In this paper, we present a new data management tool called AIP, which is implemented via the standard data management API, and hence it supports multiple file systems and makes data management operations transparent to applications. First, AIP provides centralized policy-based data management for controlling the placement of files in different storage tiers. Second, AIP uses differentiated collections of file states to improve the execution efficiency of data management policies, with the help of the caching mechanism of file states. Third, AIP also provides a resource arbitration mechanism for controlling the rate of initiated data management operations. Our results from representative experiments demonstrate that AIP has the ability to provide high performance, to introduce low management overhead, and to have good scalability.
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