Workload Adaptation in Autonomic Database Management Systems

Performance management for DBMSs is becoming increasingly important to businesses as their workloads become more diverse and complex. It is a challenge to adapt multiple workloads with complex resource requirements towards their performance goals while taking their business importance into account. Workload adaptation is a performance management process in which an autonomic DBMS efficiently makes use of its resources by filtering or controlling the workload presented to it in order to meet its Service Level Objectives. This work studies approaches and techniques for workload adaptation. A general framework and a set of related techniques for workload adaptation in autonomic DBMSs are proposed and studied with a prototype implementation. This book,therefore, provides a new approach to automatically managing DBMS worklads. Both DBMS researchers and practitioners can benefit from it.

Autorentext
Baoning Niu is an associate professor of the School of Computer and Software at Taiyuan University of Technology. He holds a BSc and an MSc from Taiyuan University of Technology and a PhD from the School of Computing at Queen's University. His research interests include: performance management for DBMSs, Self- managing DBMSs.