Speaker: Prof. Nancy Lynch (Massachusetts Institute of Technology) Abstract: For several decades, my collaborators, students, and I have worked on theory for distributed systems, in order to understand their capabilities and limitations in a rigorous, mathematical way. This work has produced many different kinds of results, including: Abstract models for problems that are solved by […]

Speaker: Jordan Oh Abstract: Human beings have always been interested in understanding themselves and their surroundings. Learning about the relationship between the two can reveal facts of the present and help predict the future, a critical part to live a better life. With the proliferation of IoT sensor devices, it is now possible to collect […]

Speaker: Fabio Persia (Free University of Bozen-Bolzano, Italy) Abstract: Human perception tends to group individual values into larger structures, this is also the case for time series data. This tendency inspired us to define an event-detection language based on time intervals, which combines timepoint-based events into larger structures. Complex events can then be defined on […]

Speaker: Thomas Hütter (University of Salzburg) Abstract: The tree similarity join computes all similar pairs in a collection of trees. Two trees are similar if their edit distance falls within a user-defined threshold. Previous algorithms, which are based on a filter-verify approach, suffer from the following two issues. First, ineffective filters produce a large number […]

Speaker: Prof. Ion Stoica (University of California at Berkeley) Abstract: In this talk, I will present several of the projects we are developing at RISELab, a two-year old lab at UC Berkeley that focuses on building platforms and algorithms for real-time intelligent decisions, decisions that are secure and explainable. These projects include both systems to […]

Speaker: Dr. Alfred Spector Abstract: Data-driven approaches have led to powerful prediction, optimization and automation techniques. Powered by large-scale, networked computer systems and machine learning algorithms, these have been very impactful to-date and hold great promise in many disciplines, even in the humanities and social sciences. However, no new technology arrives without complications, and we […]

Speaker: Pat Helland (Salesforce.com) Abstract: Increasingly, we see "Gray Failures" in the datacenter and public cloud. This happens when a server, router, or other device just plain goes slow. This may result in severe problems in the user perceived performance as the slowness cascades, sometimes not slow enough to cause the exclusion of the bad […]