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 11, 2021 (Monday) 5:00:00 PM PST
    Paper Submission:             January 18, 2021 (Monday) 5:00:00 PM PST
    Notification of acceptance:   February 15, 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, Hewlett Packard Enterprise, USA
    Andreas Kipf, Technical University of Munich, Germany
    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 Tatbut, 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