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Keynote Lectures

Available Soon
Erik Elmroth, Umeå University and Elastisys, Sweden

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

Extending Cloud to the Edge with Serverless and WebAssembly
Lucy Cherkasova, ARM Research, United States

 

Keynote Lecture

Erik Elmroth
Umeå University and Elastisys
Sweden
 

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 (www.elastisys.com), an expert on security and regulatory compliance in the cloud-native ecosystem.


Abstract
Available Soon



 

 

Data Security and Privacy in Emerging Scenarios

Pierangela Samarati
Università degli Studi di Milano
Italy
 

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).
http://www.di.unimi.it/samarati/


Abstract
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.




 

 

Extending Cloud to the Edge with Serverless and WebAssembly

Lucy Cherkasova
ARM Research
United States
 

Brief Bio
Dr. Ludmila (Lucy) Cherkasova is ACM Distinguished scientist with a 20+ year track record of innovative research, including development and productization of next-generation technologies. In 2018, she joined Arm Research (Emerging Technology Group), as a principal research scientist to assess future technology trends, identify technology gaps, and initiate research projects to fill those gaps. Before that she was a principal scientist at Hewlett Packard Labs, where she initiated, managed, and led to success multiple R&D projects, with prototypes, algorithms, or features implemented in HP products.   She is computer systems expert focusing on the end-to-end performance, automation, dependability and cost-effectiveness of the enterprise and web-based systems. Contributed to the development of quantitative methods of the analysis, design, and management of concurrent and distributed systems. Authored more than 140 referred publications, inventor of more than 100 patents (with 79 granted), mentored 25 PhD students during their summer internship at HP Labs and Arm Research. Earned 7 Best Paper Awards, Test of Time Award, and multiple ACM, IEEE, and Usenix Certificates of Appreciation.  The most recent works were on design of new technologies for efficient performance management of large-scale data intensive applications, enterprise applications in the next generation data centers with emphasis on virtualization, automation, and resource allocation issues.


Abstract
The surge of Industrial IoT and next generation technologies (such as self-driving cars, smart cities, smart grid, etc.) enable a growing number of novel applications that require low-latency data processing systems. To satisfy the performance requirements of such workloads, we need to provide a new way of processing their data closer to the source, i.e., providing Cloud functionality at the Edge. Serverless computing is emerging as a new and compelling paradigm for the deployment of cloud applications. Originally, it has appeared as a Cloud computing framework, based on VMs and containers. However, these solutions are too heavy-weight for operating efficiency and elastic scaling at the Edge. Recently, WebAssembly (Wasm) has been proposed as an alternative method for running serverless applications at near-native speeds, while having a small memory footprint and optimized invocation time. WebAssembly has emerged as one of the fastest-growing Cloud Native trends of 2021. In this talk, we will discuss these latest trends and unresolved performance challenges for the efficient serverless management at the Edge Cloud.



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