[PAST EVENT] Adaptive Stream Aggregation Processing: To Divide, To Drop or To Distribute?
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ADAPTIVE STREAM AGGREGATION PROCESSING: TO DIVIDE, TO DROP, OR TO DISTRIBUTE?
Prof. Panos K. Chrysanthis
Department of Computer Science
School of Computing and Information
University of Pittsburgh
Online analytics and real-time data processing in most advanced IoT, scientific, business, and defense applications, rely heavily on the efficient execution of large numbers of Aggregate Continuous Queries (ACQs). ACQs continuously aggregate streaming data and periodically produce results such as max or average over a given window of the latest data. Low operational cost and timely processing are of paramount importance in these applications. To meet these requirements under fixed resources, our Advanced Database Management Technologies Lab has developed adaptive algorithms for stream partitioning (divide), load shedding (drop) and query migration (distribute) for window-based aggregations. In this talk, we will visit the key question "To Divide, To Drop, or To Distribute?", introducing our recent contributions: (1) Aggregation-driven Partitioning that adapts the partitioning policy based on aggregation cost, (2) Concept-driven load shedding that adapts grouped aggregations to changing workloads and (3) Uninterruptible Migration of Continuous Queries without Operator State Migration.
Bio: Panos K. Chrysanthis is a professor of computer science and the founding director of the Advanced Data Management Technologies Laboratory at the University of Pittsburgh. He is also an adjunct professor at the Carnegie Mellon University and at the University of Cyprus. His research interests lie within the areas of data management (big data, databases, data Streams & sensor networks, data analytics and visualization), and distributed, mobile and ubiquitous computing. He received the US National Science Foundation CAREER Award (1995), Pitt's Provost Award in Excellence in Mentoring (2015), and UMass Outstanding Award in Education (2019). He is an ACM distinguished scientist and a senior member of the IEEE. He received the BS degree from the University of Athens, Greece, and the MS and PhD degrees from the University of Massachusetts at Amherst.
Prof. Anthony Stefanidis