A framework for enforcing application policies in database systems
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Using economic models to allocate resources in database management systems
CASCON '08 Proceedings of the 2008 conference of the center for advanced studies on collaborative research: meeting of minds
Economically enhanced resource management for internet service utilities
WISE'07 Proceedings of the 8th international conference on Web information systems engineering
The use of economic models to capture importance policy for autonomic database management systems
Proceedings of the 1st ACM/IEEE workshop on Autonomic computing in economics
Self-protecting and self-optimizing database systems: implementation and experimental evaluation
Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference
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A key advantage of Autonomic Computing Systems will be their ability to manage according to business policies. A key challenge to realizing this ability is the problem of automatically translating high-level business policies into low-level system tuning policies, which is the result of the different semantics used at the two levels. Economic models, which are expressed using business level concepts, have been used successfully in computer resource allocation problems. In this paper, we utilize an economic model to map business policies to resource allocation decisions in a database management system (DBMS). We focus on business policies that describe the relative importance of competing workloads on a DBMS. We present experiments with a simulation of the model that investigate a number of meanings of importance and identify how this additional information can be used to effectively allocate main memory resources in a commercial DBMS.