Dagstuhl Seminar on Self-Aware Computing

The seminar is co-organized by Samuel Kounev together with Jeffrey O. Kephart (IBM Thomas J. Watson Research Center), Marta Kwiatkowska (University of Oxford) and Xiaoyun Zhu (VMware) and has been scheduled to take place January 18 – 23, 2015.

Topic: Model-Driven Algorithms and Architectures for Self-Aware Computing Systems

Self-aware Computing Systems are best understood as a sub-class of autonomic computing systems characterized by a combination of three properties: self-reflective, self-predictive and self-adaptive. The design of such systems naturally calls for an integrated interdisciplinary approach with input from multiple areas of computer science and engineering, including software and systems engineering, systems modeling, simulation and analysis, machine learning and autonomic computing, data center resource management, and so on. Inspired by a common vision requiring expertise from, and being relevant to, all of the mentioned research fields, the proposed seminar aims to bring together researchers from the respective communities in order to enable the exchange of ideas and experiences as well as to encourage active collaborations and cross-fertilization between related research efforts in the area of model-driven algorithms and architectures for self-aware computing systems. Overall, the seminar aims to open up new exciting research opportunities in each of the mentioned fields contributing to the emergence of a new research area at their intersection.

For more information and frequent updates on this seminar, you can join this LinkedIn group or visit the Schloss Dagstuhl website on this seminar.