Italy

The rapid advancements in Information and Communication Technologies (ICTs) have beengreatly changing our society, with clear societal and economic benefits. Mobiletechnology, Cloud, Big Data, Internet of things, services and technologies that arebecoming more and more pervasive and conveniently accessible, towards to the realizationof 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 offeringpersonalized and advanced services. A major concern, and potential obstacle, towards thefull realization of such evolution is represented by security and privacy issues. I willillustrate some security and privacy issues arising in emerging scenarios, focusing on theproblem of managing data while guaranteeing protection of data stored or processed byexternal providers.

CLOSER 2022

Data Security and Privacy in Emerging Scenarios

The International Conference on Information Systems Security and Privacy provides a meeting point for researchers and practitioners, addressing the trust, security and privacy challenges of information systems from both technological and social perspectives. The conference welcomes papers of either practical or theoretical nature, and is interested in research or applications addressing all aspects of trust, security and privacy, and encompassing issue of concern for organizations, individuals and society at large.

ICISSIP 2022

The International Conference on Information Systems Security and Privacy provides a meeting point for researchers and practitioners, addressing the trust, security and privacy challenges of information systems from both technological and social perspectives. 

keynote

The International Conference on Cloud Computing and Services Science (CLOSER), focuses on the highly important area of Cloud Computing, inspired by some latest advances that concern the infrastructure, operations, and available services through the global network. Further, the conference considers as essential the link to Services Science, acknowledging the service-orientation in most current IT-driven collaborations. The conference is nevertheless not about the union of these two (already broad) fields, but about Cloud Computing where we are also interested in how Services Science can provide theory, methods and techniques to design, analyze, manage, market and study various aspects of Cloud Computing.

The International Conference on Cloud Computing and Services Science (CLOSER), focuses on the highly important area of Cloud Computing, inspired by some latest advances that concern the infrastructure, operations, and available services through the global network. 

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.

15 Years of Cloud Control

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 cheaplyThe 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.

Premium content

Downloads

Next from CLOSER 2022

15 Years of Cloud Control

Similar lecture

Data Security and Privacy in Emerging Scenarios