Campus Event Calendar
Event Entry
What and Who
Feedback-Control for Self-Adaptive Predictable Computing
Martina Maggio
Lund University
SWS Colloquium
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.
SWS, RG1, MMCI
AG Audience
English
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Date, Time and Location
Wednesday, 13 March 2019
10:30
90 Minutes
E1 5
029
Saarbrücken
Abstract
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.
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.
Contact
Annika Meiser
93039105
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Video Broadcast
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Kaiserslautern
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Annika Meiser, 02/15/2019 14:28
Annika Meiser, 02/15/2019 14:27 -- Created document.
Annika Meiser, 02/15/2019 14:27 -- Created document.