STMM White Paper
The Self-Tuning Memory Manager (STMM): A Technical White Paper
(PDF)
Authors: Christian Garcia-Arellano, Adam Storm, Colin Taylor
DB2 9 introduced a revolutionary Self Tuning Memory Manager (STMM) which automates the task of memory tuning. The new feature continuously monitors the system in an effort to tune the buffer pools and several of the most critical memory related configuration parameters. Through the use of an iterative tuning approach, STMM is able to tune systems to near optimal memory distribution in less than an hour.
More impressive however, is STMM's ability to handle sudden, drastic, and sustained shifts in memory requirements. The tuning technology is completely hands off, and scales well from small single user systems to large enterprise warehouses. STMM has shown excellent results for many varied workloads from OLTP through Decision Support systems.
This paper first outlines the new STMM feature and describes how it can be configured. It then discusses how the STMM feature interacts with other DB2 features such as HADR and DPF, before briefly describing the feature's internals. Finally, the paper illustrates STMM's strengths by highlighting some of the impressive results that have been achieved through performance testing.
http://www.ibm.com/db2/autonomics/index.html
links here.