Resource-usage modeling tools for performance control

This report is for a final project of the Stan Ackermans Institute Professional Doctorate in Engineering (PDEng) degree program on Software Technology (OOTI). The program is provided by Eindhoven University of Technology. The project was conducted at Philips Healthcare, Best. It was specifically conducted under the Interventional X-ray (iXR) business unit, R&D department, Image Pro-cessing and Display Software group. This group is responsible for building the image and display processing software subsystems for the Allura Xper X-ray sys-tems. These X-ray systems are used for diagnostic and intervention purposes. The objective of the project is to build resource-usage modeling tools which help in studying application deployment alternatives for the Allura Xper X-ray sys-tems from Philips. The business goal for the project is to enable cost reduction through the combining of two or more PCs into one PC. This OOTI project had a time span of nine months. It was supervised by Prof. Lukkien from TU/e and Mike Creemers and Rob Albers from Philips. The end result of the project is a set of resource-usage modeling tools which facilitate the combining of two or more PCs into one. In this report, we present the design and implementation of these tools