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Keynote Lectures

15 Years of Cloud Control
Erik Elmroth, Umeå University and Elastisys, Sweden

Data Security and Privacy in Emerging Scenarios
Pierangela Samarati, Università degli Studi di Milano, Italy

Scaling the Data Loop: Accelerating the Development and Testing of Autonomous Vehicles
Ulrich Homann, Microsoft, United States


15 Years of Cloud Control

Erik Elmroth
Umeå University and Elastisys

Brief Bio
Erik Elmroth is Professor and Head of the Department of Computing Science at Umeå University and co-founder of Elastisys AB. He has established the Umeå University research on distributed systems, focusing on theory, algorithms, and systems for the autonomous management of ICT resources, spanning from individual servers to large scale cloud datacenters, federated clouds, highly distributed edge clouds, and software-defined infrastructures. Elmroth has vast experience from leading roles in major research programs, currently including the 550 million euro Wallenberg AI, Autonomous Systems and Software Program (WASP); the 30 million euro eSSENCE programme; and leading 2 projects funding 18 postdoc researchers by the Kempe Foundations. He received the Nordea Scientific Award 2011. Pre-historic highlights include being co-winner of the SIAM Linear Algebra Prize 2000, for the most outstanding linear algebra publication world-wide (in any journal) during the preceding 3-year period. Elmroth is member of the Swedish Royal Academy for Engineering Sciences and Vice Chair for its Division on Information Technology. Previously, he was the Chair of the Board of the Swedish National Infrastructure for Computing (SNIC) and Chair of Swedish Research Council's expert group on e-science. International experiences include a year at NERSC, Lawrence Berkeley National Laboratory, University of California, Berkeley, and one semester at the Massachusetts Institute of Technology (MIT), Cambridge, MA. Finally, Elmroth is co-founder of Elastisys AB (, an expert on security and regulatory compliance in the cloud-native ecosystem.

The delivery of cloud services - on the infrastructure, platform, and software level – relies on the management systems’ ability to meet the requirements of cloud providers and their users. Our research efforts, often under the term Cloud Control, has addressed the challenges of how to meet key requirements in terms of, e.g., availability, reliability, performance, and cost- and energy-efficiency since before the term cloud was coined, addressing compute clusters, cloud datacenters, federations of cloud datacenters, edge networks, and software defined infrastructures. Our approach to control the systems has been multidisciplinary, providing autonomous management systems based on distributed systems research complemented with expertise in control theory, mathematical statistics, discrete optimization, and machine learning. And for the problems that simply cannot be controlled, the approach includes anomaly detection and mitigation. This presentation will illustrate how the research area has developed over the past 15 years and includes examples of specific research efforts performed over these years, in essence providing a Swedish Smorgasboard of cloud control research.



Data Security and Privacy in Emerging Scenarios

Pierangela Samarati
Università degli Studi di Milano

Brief Bio
Pierangela Samarati is a Professor at the Department of Computer Science of the Università degli Studi di Milano, Italy. Her main research interests are on data and applications security and privacy, especially in emerging scenarios. She has participated in several projects involving different aspects of information protection. On these topics, she has published more than 280 peer-reviewed articles in international journals, conference proceedings, and book chapters.  She has been Computer Scientist at SRI, CA (USA) and visiting researcher at Stanford University, CA (USA), and at George Mason University, VA (USA).  She is the chair of the IEEE Systems Council Technical Committee on Security and Privacy in Complex Information Systems (TCSPCIS), of the ERCIM Security and Trust
Management Working Group (STM), and of the ACM Workshop on Privacy in the Electronic Society (WPES). She is ACM Distinguished Scientist (named 2009) and IEEE Fellow (named 2012).
She has received the ESORICS Outstanding Research Award (2018), the IEEE Computer Society Technical Achievement Award (2016), the IFIP WG 11.3 Outstanding Research Contributions Award (2012), and the IFIP TC11 Kristian Beckman Award (2008).

The rapid advancements in Information and Communication Technologies (ICTs) have been greatly changing our society, with clear societal and economic benefits. Mobile technology, Cloud, Big Data, Internet of things, services and technologies that are becoming more and more pervasive and conveniently accessible, towards to the realization of a smart society.  At the heart of this evolution is the ability to collect, analyze, process and share an ever-increasing amount of data, to extract knowledge for offering personalized and advanced services. A major concern, and potential obstacle, towards the full realization of such evolution is represented by security and privacy issues. I will illustrate some security and privacy issues arising in emerging scenarios, focusing on the problem of managing data while guaranteeing protection of data stored or processed by external providers.



Scaling the Data Loop: Accelerating the Development and Testing of Autonomous Vehicles

Ulrich Homann
United States

Brief Bio
Ulrich (Uli) Homann is a Corporate Vice President & Distinguished Architect in the Cloud + AI business at Microsoft. As part of the senior engineering leadership team, he’s responsible for the customer-led innovation efforts across the cloud and enterprise platform portfolio. Previously Homann was the Chief Architect for Microsoft worldwide enterprise services, having formerly played a key role in the business’ newly formed Platforms, Technology and Strategy Group. Prior to joining Microsoft in 1991, he worked for several small consulting companies, where he designed and developed distributed systems and has spent most of his career using well-defined applications and architectures to simplify and streamline the development of business applications. Homann holds a Bachelor of Computer Science from the University of Cologne, Germany.

The development and testing of autonomous vehicles requires a massive edge-to-cloud-to-edge “data loop” that begins & ends with the test fleet. In order to meet customer sprint cycle KPIs and iterate across the data loop quickly & efficiently, Microsoft solved a series technical and logistical challenges at scale across an end to end workflow featuring sensor reprocessing, CI/CD & ML pipeline management, and both perception and post-perception closed loop simulation.
The focus of this presentation will be a high-level description of the entire data loop with a focus on the unique challenges of sensor reprocessing (commonly called “re-sim” or “playback”) at a massive scale.  Re-sim is simultaneously a logistical challenge, a safety challenge, and a budget challenge. The presentation will explain how Microsoft Azure: 
• Extracts petabytes of data (daily!) from both stationary & nomadic fleets dispersed globally
• Filters, processes, & curates those petabytes of data
• Accurately assesses & recreates the real-world performance of a device under test
• … and do all of the above quickly and cheaply
The presentation will conclude with a forward-looking overview of anticipated future challenges Microsoft will need to solve as the technology continues to evolve and customer KPIs grow more sophisticated.