Models, architectures and paradigms: Complex event processing, event-driven architectures, trustworthy event-based systems, real-time analytics, intelligent event processing, event processing in big and fast data, data stream processing, security and encryption in stream processing, complex event forecasting, in-network processing, logic-based complex event recognition, online relational learning, distributed event pattern learning, event correlation and pattern languages.
Systems and software: Distributed data processing, distributed programming, federated event-based systems, AI/ML for event processing, information-centric networking, software-defined networking, security, reliability and resilience, distributed ledger and blockchains, programmable hardware, energy management and green computing as well as cloud, fog, ubiquitous and mobile computing.
Applications: Use cases, requirements and applications of distributed and event-based systems in various domains including Internet-of-Things, life sciences, moving object applications, smart cities, cyber-physical systems, sensor networks, social networking, multimedia analytics, finance, healthcare and logistics, computer and network security, smart contracts and blockchains. Also, relevant topics span enterprise-level computing, including enterprise application integration, real-time enterprises, event-based business process management, and support for enterprises to respond in a timely fashion to changing situations.
Beyond the above topics, the DEBS 2021 research track will highlight the following focus areas: machine learning for complex event processing, distributed and event-based systems for the COVID-19 pandemic. The Conference Committee encourages submissions in these focus areas, and will highlight these in the conference in separate sessions. Submissions to the focus areas will be overseen by dedicated area chairs but reviewed according to the same standards and procedures as other DEBS Research paper submissions.