Automatic Parameter Optimisation of Service Quality and Resource Usage

Abstract

Developers use models to design real world distributed applications that often are subject to Service Level Agreements to find a good balance between the quality of the service and its resource usage. Executable models has been used to observe and study such applications using, e.g., the Real Time ABS language, an executable and object-oriented modelling language.
For complex models, due to the high number and dependencies between the parameters, it is very difficult to understand the best possible setting that leads the system towards a desired quality of service, while minimising the usage of computing resources. In this work we present POPT, a parameter optimiser tool that starting from Real Time ABS models, by using AI techniques, searches in an automatic way for the best possible setting to satisfy the developer’s expectations.