Database workload management through CBR and fuzzy based characterization
The proposed research introduces a way to manage the database workload in the DBMSs on the basis of the workload type that may be either OLTP or DSS. The main goal of the research is to manage the workload in DBMSs through characterization, scheduler and idleness detection modules. The database workload management is performed by using the case based reasoning characterization; Fuzzy logic based scheduling and finally detection of CPU Idleness.
workload characterization scheduling idleness detection autonomic dbms