Towards self-managed and re-configurable stream processing systems
Abstract
Recent efforts by academia and open-source communities have established stream processing as a principal data analysis technology across industry. All major cloud vendors offer streaming analytics as managed services. At the same time, stream processing systems are increasingly being used for event-driven applications beyond analytics, such as orchestrating microservices and model serving.
Bio:
Vasiliki (Vasia) Kalavri is an Assistant Professor at Boston University, Department of Computer Science. Her research focuses on distributed stream processing systems and large-scale graph analytics. Before joining BU, Vasia was a postdoctoral fellow at ETH Zurich and received a joint PhD from KTH (Sweden) and UCLouvain (Belgium). Vasia is also a PMC member of Apache Flink, a popular open-source stream processing framework, and co- author of the book “Stream Processing with Apache Flink”.
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