]> 2005-12-02T00:00:00-05:00 The goal is to develop an autonomic assistant to substantially reduce the amount of time it takes to address specific problems in the system. Using tools such as IBM’s Generic Log Adapter, Resource Model Builder, and Autonomic Management Engine, the MSSAAA has been able to (i) quickly determine when tape errors occur and correct them, (ii) monitor the network file system mounts for poor performance and report those, and (iii) correct network file system handle problems through continuous monitoring. The preliminary savings analyses show that the assistant saves the system administrator at least 185 hours per year, and over six thousand dollars in related costs. The results show how efficiently and effectively the MSSAAA handled its assigned tasks, and how it has eased the daily burden of storage system administrators. ]]> 458 742259