Model-Based Control of Adaptive Applications: An Overview

Model-based control utilizes performance models of applications to choose performant system configurations for execution of applications. The performance models used in this research separate specification of the software system from specification of the execution environment so that model-based control can select software configurations for a given execution environment or, conversely, select execution environments for a given software configuration. Some representations, methods, and tools that enable model-based control are briefly described. Application of some of the methods and tools to a stochastic optimization code is briefly sketched. The problems of model-based control of two other applications are defined and described. The relationship between model-based control and other methods for adaptive control is briefly discussed.

• Type: Conference
• Year: 2002
• Where: IPPS
• Authors: Vikram S. Adve, Afolami Akinsanmi, James C. Browne, Det Buaklee, Guoshen Deng, Vinh Vi Lam, Trevor Morgan, John R. Rice, Gregory J. Rodin, Patricia J. Teller, Gregory F. Tracy, Mary K. Vernon, Stephen J. Wright
• Keywords: Distributed And Parallel Computing, Enable Model-based Control, Execution Environments, IPPS 2002, Model-based Control