This paper studies the use of statistical induction techniques as a basis for automated performance diagnosis and performance management. The goal of the work is to develop and ev...
Ira Cohen, Jeffrey S. Chase, Julie Symons, Mois&ea...
This paper describes a new property checking approach in order to enhance the diagnosis ability of an electronic embedded system, included in an automotive application. We conside...
Most model-based diagnosis systems, such as GDE and Sherlock, have concerned discrete, static systems such as logic circuits and use simple constraint propagation to detect incons...
Abstract. We propose a framework for model-based diagnosis of systems with mobility and variable topologies, modelled as graph transformation systems. Generally speaking, model-bas...
Paolo Baldan, Thomas Chatain, Stefan Haar, Barbara...
We focus on automatically diagnosing different performance problems in parallel file systems by identifying, gathering and analyzing OS-level, black-box performance metrics on eve...
Michael P. Kasick, Jiaqi Tan, Rajeev Gandhi, Priya...