Title :
Research on Workload Adaptation Architecture for DBMS
Author :
Qian, Shao ; Wang, Shuguang
Author_Institution :
Dept. of Comput. Sci. Inst., Coll. of Traffic Manage. Cadres, Beijing, China
Abstract :
As the visits to databases in the network application become more and more, the DBMS, which is the core of network calculation, attracts increasing attention. The research on the self-calculating, which mainly includes self-configuring, self-restoring, self-optimizing and self-protecting, handles the internal resources management of the DBMS. But it can´t handle the management of external workload. Different workloads have different commercial values. The workload which has great commercial value is entrusted great importance. Its performance should be fulfilled firstly. This paper handles this difficult problem by researching the workload adaptation technology. On the base of research, this paper gave workload adaptation architecture for DBMS and finished the testing.
Keywords :
database management systems; information resources; DBMS; databases; internal resources management; network application; workload adaptation architecture; Adaptation model; Classification algorithms; Databases; Monitoring; Predictive models; Process control; Software algorithms; architecture; theoretical research; workload adaptation;
Conference_Titel :
Intelligence Information Processing and Trusted Computing (IPTC), 2010 International Symposium on
Conference_Location :
Huanggang
Print_ISBN :
978-1-4244-8148-4
Electronic_ISBN :
978-0-7695-4196-9
DOI :
10.1109/IPTC.2010.83