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What and Who
Title:Feedback Control for Predictable Cloud Computing
Speaker:Dr. Martina Maggio
coming from:Lund University
Speakers 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. She
completed her Ph.D. at Politecnico di Milano, on the applications of
control-theoretical tools for the design of computing systems
components. 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, named one of the one of ten "World Changing Ideas" by
Scientific American in 2011. She joined Lund University in 2012 as a
postdoctoral researcher, working with Karl-Erik Årzén 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.
Event Type:SWS Colloquium
Visibility:D1, D2, D3, INET, D4, D5, SWS, RG1, MMCI
We use this to send out email in the morning.
Level:AG Audience
Language:English
Date, Time and Location
Date:Wednesday, 14 November 2018
Time:10:30
Duration:90 Minutes
Location:Saarbrücken
Building:G26
Room:111
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 computing infrastructure. Exploiting
control-theoretical principles and taking advantage of the knowledge and
the analysis capabilities of control tools, it is possible to provide
formal guarantees on the predictability of the cloud platform. This talk
introduces recent research advances on feedback control in the cloud
computing domain. This talk discusses control solutions and future
research for both cloud application development, and infrastructure
management. In particular, it covers application brownout, control-based
load-balancing, and autoscaling.
Contact
Name(s):Vera Schreiber
Video Broadcast
Video Broadcast:YesTo Location:Saarbrücken
To Building:E1 5To Room:029
Meeting ID:
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Created:
Vera Schreiber/MPI-SWS, 11/12/2018 10:03 AM
Last modified:
Uwe Brahm/MPII/DE, 11/14/2018 07:01 AM
  • Vera Schreiber, 11/12/2018 10:09 AM -- Created document.