Towards Automated Performance Tuning for Complex Workloads
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Self-Tuning of the Relationships among Rules' Components in Active Databases Systems
IEEE Transactions on Knowledge and Data Engineering
Using probabilistic reasoning to automate software tuning
Proceedings of the joint international conference on Measurement and modeling of computer systems
Workload adaptation in autonomic DBMSs
CASCON '06 Proceedings of the 2006 conference of the Center for Advanced Studies on Collaborative research
Hi-index | 0.00 |
In self-tuning of database performance research area, the optimization of dynamic resources is important. This paper focused on the self-tuning of dynamic resources on the base of feedback mechanism, designed and achieved a simple model combined with Oracle database. This model gave an evaluating principle of system performance, and could adjust system parameters automatically to achieve the goal of system performance. And an evaluation model was designed to evaluate the performance state of the running system. The result after the self-tuning of some parameters was illustrated by simulating various workloads.