A survey on the evolution of stream processing systems
Marios Fragkoulis (Delivery Hero, TU Delft - Web Information Systems)
Paris Carbone (KTH Royal Institute of Technology, Research Institutes of Sweden RISE)
Vasiliki Kalavri (Boston University)
A. Katsifodimos (TU Delft - Web Information Systems)
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Abstract
Stream processing has been an active research field for more than 20 years, but it is now witnessing its prime time due to recent successful efforts by the research community and numerous worldwide open-source communities. This survey provides a comprehensive overview of fundamental aspects of stream processing systems and their evolution in the functional areas of out-of-order data management, state management, fault tolerance, high availability, load management, elasticity, and reconfiguration. We review noteworthy past research findings, outline the similarities and differences between the first (’00–’10) and second (’11–’23) generation of stream processing systems, and discuss future trends and open problems.
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