C. Murray Woodside Ph.D, (Cambridge) Proessor Emeritus and Distinguished Research Professor  Previously holder of the OCRI/NSERC Industrial Research Chair in Performance Engineering of Real-Time Software    Email:Murray dot Woodside AT sce dot carleton dot ca  Tel: +1 613 520-5721  Fax:+1 613 520-5727  Office: Canal Building, Room 5201

Research Interests:
My long-time interest is in efficient modeling of large-scale distributed computer systems, using layered queueing to represent resource contention. This can be broken down into subtopics
(1) a fast approximate solution tool called LQNS (work continued by Prof Greg Franks),
(2) methods for finding the structure of models from request traces, and for finding their parameters by nonlinear estimation and regression techniques,
(3) deriving performance models from software designs in UML (the PUMA system and the MARTE profile for UML annotation, with Prof Petriu), and
(4) model-based optimization for better design, configuration and deployment, most recently for cloud management (with Prof Chinneck and Litoiu).
I am still interested in all these topics. Recently cloud optimization and deriving models from traces have been top-of-mind, with a side interest in incorporating layered queueing concepts into data analytics for deriving or calibrating models for performance.
An information page about layered queueing is here and our LQNS solver for layered queueing systems is here . An information page about regression techniques for fitting LQ models is here .

Positions for new graduate students:
I am looking for students interested in any of the above topics.

List of Publications

RADS Lab Home Page
UML Performance Profile: Early Documents

• Writing a paper or thesis with a Storyboard