PartnersPartners mentioned the interest in security, debugging hardware, real-time systems, embedded systems and large scale distributed infrastructure.
On the security aspects, the goal would be to increase the accuracy of detecting intrusion. It's reported that simple attacks are often working, like sending an email with a link that loads some browser extension or other web site, up to get the user credentials.
The need to model normal behavior and alert when the system is going outside of it without false positive has been mentioned a lot.
In the field of large scale infrastructure, there are needs for understanding the system wide behavior of a distributed system at runtime. This is at the heart of finding problems fast on hard to reproduce problems, including kernel, and apps crash and performance slowdowns.
Monitoring a system modify the system behavior and the measure itself, even in the computer domain. In the embedded and real-time, first there is the challenge to put an upper bound to tracing impact, to make sure to respect timing constraints, even in the case tracing is enabled.
ResearchSebastian Fischmeister from the University of Waterloo presented research about using a sampling approach to tracing for real-time systems. He presented an approach to add hardware instruction for tracing, that would run it only if the timing requirements would be met.
Ashvim Goel from the University of Toronto talked about increasing security by recording all system calls to allow off-line analysis. Data is indexed to allow fast queries.
Greg Frank from Carleton University presented performance model based on traces. Execution paths at the system level can be modeled by a graph. Graph can be annotated with resource consumption.
Del Mayers from the University of Victoria presented a reverse engineering tool using tracing. By running the program with the desired functionality, then repeating the scenario without using that particular activity, it's possible to do a difference set operation on called methods and isolate with low noise level the classes and methods that implements this particular functionality.