Call For Papers: Workshop on Self-Managing Database Systems (SMDB) 2021 co-located at ICDE 2021 in Chania, Crete, Greece [Main focus] The aim of the SMDB workshop is to provide a forum for researchers from both industry and academia to present and discuss ideas related to self-management and self-organization in data management systems ranging from classical databases to data stream engines to large-scale cloud environments that utilize advanced AI, machine learning, and data mining and analysis. [Web Site] https://db.cs.pitt.edu/smdb2021/ [Important Dates] Paper Abstract (optional): January 31, 2021 (Monday) 5:00:00 PM PST Paper Submission: January 31, 2021 (Sunday) 5:00:00 PM PST Notification of acceptance: February 22, 2021 (Monday) Camera-ready: March 01, 2021 (Monday) Workshop: April 19, 2021 (Monday) [Submission] Submission site: https://cmt3.research.microsoft.com/SMDB2021 Authors are invited to submit original research contributions in English of up to 6 pages or short papers up to 4 pages in the IEEE camera-ready format. The page limit includes the bibliography and any appendix. All accepted papers will appear in the formal Proceedings of the Conference Workshops published by IEEE CS Press, and will be included in the IEEE digital library. Authors of a selection of accepted papers will be invited to submit an extended version to the Distributed and Parallel Databases (DAPD) journal. [Topics of interest] Topics of interest include, but are not limited to: * Principles and architecture of autonomic data management systems * Retro-fitting existing systems vs. designing for self management * Self-* capabilities in databases and storage systems * Data management in cloud and multi-tenant databases * Autonomic capabilities in database-as-a-service platforms * Automated testing of data management systems * Automated physical database design and adaptive query tuning * Automated provisioning and integration * Automatic enforcement of information quality * Robust query processing techniques * Self-managing data stream engines and adaptive event-based systems * Self-managing distributed / decentralized / peer-to-peer information systems * Self-management of internet-scale distributed systems * Self-management for big data infrastructures * Monitoring and diagnostics in data management systems * Policy automation and visualization for datacenter administration * User acceptance and trust of autonomic capabilities * Evaluation criteria and benchmarks for self-managing systems * Self-evaluation of data management services in the cloud * Use cases and war stories on deploying autonomic capabilities [Organizers] Panos K. Chrysanthis, University of Pittsburgh, panos@cs.pitt.edu Meichun Hsu, Oracle Corporation, meichun.hsu@oracle.com Herodotos Herodotou, Cyprus University of Technology, herodotos.herodotou@cut.ac.cy Yingjun Wu, Amazon Web Services, wu.yj0616@gmail.com Constantinos Costa, University of Pittsburgh, costa.c@cs.pitt.edu [PC Members] Alkis Simitsis, Athena Research Center, Greece Andreas Kipf, MIT, USA Bailu Ding, Microsoft Research, USA Deepak Majeti, Vertica/MicroFocus, USA Eduardo Cunha de Almeida, Federal University of Paraná, Brazil Evaggelia Pitoura, U. Ioannina, Greece George Pallis, University of Cyprus, Cyprus Guoliang Li, Tsinghua University, China Jiaheng Lu, University of Helsinki, Finland Kai-Uwe Sattler, TU Ilmenau, Germany Ken Salem, University of Waterloo, Canada Khuzaima Daudjee, University of Waterloo, Canada Le Gruenwald, University of Oklahoma, USA Matthias J Sax, Confluent Inc., USA Mohamed A Sharaf, United Arab Emirates University, UAE Nesime Tatbul, Intel Labs and MIT, USA Nikos Katsipoulakis, Amazon Web Services, USA Peter Triantafillou, University of Warwick, UK Rebecca Taft, Cockroach Labs, USA Ryan Marcus, MIT, USA Uta Störl, Darmstadt University of Applied Sciences, Germany Vivek Narasayya, Microsoft Research, USA Yao Lu, Microsoft Research, USA