A Self-Adaptive Storage Area Network System Based on Autonomic Computing

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.