Abstract-Systems should be self-predicting. They should continuously monitor themselves and provide quantitative answers to What...if questions about hypothetical workload or resource changes. Self-prediction would significantly simplify administrators' decision making, such as acquisition planning and performance tuning, by reducing the detailed workload and internal system knowledge required. This paper describes and evaluates support for self-prediction in a cluster-based storage system and its application to Whart..if questions about data distribution selection.
The design and implementation of a selfpredicting cluster-based storage system is presented in REF .
Informed data distribution selection in a self-predicting storage system
2006 IEEE International Conference on Autonomic Computing
2006 IEEE International Conference on Autonomic Computing
Computer Science