Martina Maggio

"Feedback-Control for Self-Adaptive Predictable Computing"

( MPI-SWS talk in Kooperation mit dem Fachbereich Informatik)

Cloud computing gives the illusion of infinite computational capacity and allows for on-demand resource provisioning. As a result, over the last few years, the cloud computing model has experienced widespread industrial adoption and companies like Netflix offloaded their entire infrastructure to the cloud. However, with even the largest datacenter being of a finite size, cloud infrastructures have experienced overload due to overbooking or transient failures. In essence, this is an excellent opportunity for the design of control solutions, that tackle the problem of mitigating overload peaks, using feedback from the infrastructure. These solutions can then exploit control-theoretical principles and take advantage of the knowledge and the analysis capabilities of control tools to provide formal guarantees on the predictability of the infrastructure behavior. This talk introduces recent research advances on feedback control in the cloud computing domain, together with my research agenda for enhancing predictability and formal guarantees for cloud computing.

Bio: Martina Maggio is an Associate Professor at the Department of Automatic Control, Lund University. Her research area is the application of control-theoretical techniques to computing systems' problems. Martina completed her Ph.D. at Politecnico di Milano, working with Alberto Leva. During her Ph.D., she spent one year as a visiting graduate student at the Computer Science and Artificial Intelligence Laboratory at MIT, working with Anant Agarwal and Hank Hoffmann on the Self-Aware Computing project. She joined Lund University in 2012 as a postdoctoral researcher, working with Karl-Erik Årzén. Since then, her research has been mainly focused on resource allocation for cloud infrastructures and real-time systems. Martina became an Assistant Professor in 2014, and then Docent and Associate Professor in 2017.