Title :
Storage Performance Optimization Based on ARIMA
Author :
Zeng, Leijie ; Zhang, Yanyuan ; Zhao, Xiaonan
Author_Institution :
Sch. of Comput., Northwestern Polytech. Univ., Xi´´an, China
Abstract :
This paper analyzes the potential causes of the performance bottleneck in I/O access paths of storage architecture and proposes a predictive approach based on feedforward to optimize the I/O performance of storage subsystems effectively, which uses a time series analysis method based on ARIMA to build the predictive and monitor model of the performance. This approach can improve the availability of the storage subsystem effectively and decrease TCO by decreasing the possibility of I/O bottlenecks.
Keywords :
autoregressive moving average processes; feedforward; storage management; time series; ARIMA; I/O access paths; feedforward; performance monitoring model; predictive approach; storage architecture; storage performance optimization; storage subsystems; time series analysis method; total cost of ownership; Availability; Cause effect analysis; Monitoring; Optimization methods; Performance analysis; Predictive models; Time series analysis; ARIMA; data migration; performance optimization;
Conference_Titel :
Database Technology and Applications, 2009 First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3604-0
DOI :
10.1109/DBTA.2009.15
