Autonomic Computing Models and Adaptation of the Control Loop.

Autonomic Computing Systems are systems which are capable of self‐configuring, self‐healing, self‐optimizing and self‐protecting themselves, by constantly monitoring the current state of the system, determining if the state of the system must change and how the state must change, and finally taking appropriate action in order to bring the system to the desired state. The intern will build on previous work in autonomic computing by analyzing the impact of making changes in a control loop at runtime. By building an automatic system control which self‐adapts to changes in its environment one can ensure that an autonomic system will perform correctly even in the presence of conditions which are different than the conditions at design and deployment time. The proposed outcome, which will be approached theoretically, is aimed at a system that is stable, executes correctly and does not cause extra failures in the environment.

Faculty Supervisor:

Dr. Dan Ionescu

Student:

Bogdan Vlad Solomon

Partner:

IBM Canada

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Ottawa