Storage management is one of the most important problems for the current network storage system. The kernel of solving storage management problem is to self-adapt storage system to all changes of external environment and internal events, and to carry out self-regulation and self-management. The key to storage manageability is self-adaptation. A new method and architecture for implementing storage management is introduced in this paper that is to realize self-adaptation SAN storage management system based on Autonomic Computing theory. On the basis of Tsinghua Mass storage network system project (TH-MSNS),we have produced a common framework of the SAN (storage area network) storage management system, and implemented an adaptive-level Autonomic SAN storage system. Test results show that the new SAN storage system has a better performance than the old system.