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

    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.

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付长冬,舒继武,郑纬民,沈美明.基于自主运算的自适应存储区域网络系统.软件学报,2004,15(7):1056-1063

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  • Received:June 11,2003
  • Revised:February 03,2004
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