f[j] = ci,j return min(f[1], f[2], …, f[p]) ??? Vasiliki Kalavri | Boston University 2020 24 Computing top-k ??? Vasiliki Kalavri | Boston University 2020 24 • Additional to the array of counter, we elements seen so far • a heap X* of up to k potential heavy hitters and their frequency estimations Computing top-k ??? Vasiliki Kalavri | Boston University 2020 24 • Additional to the array of counter, we frequency estimations • We use a frequency threshold f*=N/k to decide whether an element is popular Computing top-k ??? Vasiliki Kalavri | Boston University 2020 24 • Additional to the array of counter, we

central context for creating Table and SQL API programs. Flink is an unified streaming and batch computing engine, which provides unified streaming and batch API to create a TableEnvironment. TableEnvironment and central concept for creating DataStream API programs. Flink is an unified streaming and batch computing engine, which provides unified streaming and batch API to create a StreamExecutionEnvironment.

central context for creating Table and SQL API programs. Flink is an unified streaming and batch computing engine, which provides unified streaming and batch API to create a TableEnvironment. TableEnvironment and central concept for creating DataStream API programs. Flink is an unified streaming and batch computing engine, which provides unified streaming and batch API to create a StreamExecutionEnvironment.

discard by relying on the notion of a window-based concept drift. • The metric is defined by computing a similarity metric across windows. 18 ??? Vasiliki Kalavri | Boston University 2020 How many

University 2020 53 • Martin Hirzel et. al. A Catalog of Stream Processing Optimizations. (ACM Computing Surveys 2014). • Ron Avnur and Joseph M. Hellerstein. Eddies: continuously adaptive query processing

-algorithm/ • A video lecture on global snapshots: https://www.coursera.org/lecture/ cloud-computing/1-2-global-snapshot-algorithm-hndGi 52