• Slide 1

    Tenth International Workshop on Self-Managing Database Systems

    自我管理 数据库, 12 April 2019, Macau SAR China

    Abstract Due: 17 December 2018 (optional), Full Paper Submission Due: 22 December 2018

  • Slide 2

    Tenth International Workshop on Self-Managing Database Systems

    自我管理 数据库, 12 April 2019, Macau SAR China

    Abstract Due: 17 December 2018 (optional), Full Paper Submission Due: 22 December 2018

  • Slide 3

    Tenth International Workshop on Self-Managing Database Systems

    自我管理 数据库, 12 April 2019, Macau SAR China

    Abstract Due: 17 December 2018 (optional), Full Paper Submission Due: 22 December 2018









AIM & SCOPE

During the last forty years, data management systems have grown in scale, complexity, and number of installations. At the same time, administration of these systems has become very expensive with the human factor dominating the total cost of ownership. Current trends like cloud computing make this situation even more problematic for service providers who have to configure and manage thousands of database nodes.

There has been a significant amount of research addressing this problem by providing autonomic or self-* features in database systems to support complex administrative tasks like physical database design, problem diagnosis, and performance tuning. However, novel challenges arise from trends like containerization and virtualization; emerging systems like Kafka, Presto, and Spark; auto-scaling and transient clusters on the cloud; and Software-as-a-Service (SaaS). A major challenge is the need to scale self-management capabilities to the level of hundreds to thousands of nodes while taking economic factors into account.

Autonomic, or self-managing, systems are a promising approach to achieve the goal of systems that are easier to use and maintain. A system is considered to be autonomic if it possesses the capabilities to be self-configuring, self-optimizing, self-healing and self-protecting. 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 in AI, machine learning and data mining and analysis.







CALL FOR PAPERS


Download CFP as PDF

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

SUBMISSION GUIDELINES

Authors are invited to submit original research contributions in English of up to 6 pages in the IEEE camera-ready format (templates are available at the ICDE 2019 submission guidelines page) to the submission site https://cmt3.research.microsoft.com/SMDB2019. Authors of accepted papers will be encouraged to submit an extended paper of up to 8 pages for final publication. 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.

Paper submission deadline:

December 3, 2018 5pm PST    December 17, 2018 5pm PST (abstract) (optional)
December 10, 2018 5pm PST    December 22, 2018 5pm PST(full paper)

Notification:
January 28, 2019    January 31, 2019

Camera-ready:
February 22, 2019









ORGANIZATION

team

Shivnath Babu
GENERAL CHAIR

CTO, Unravel Data Systems
Adjunct Professor, Duke University
team

Panos K. Chrysanthis
PROGRAM CHAIR

Professor, Computer Science Department
University of Pittsburgh
team

Meichun Hsu
PROGRAM CHAIR

Sr. Director of R&D Database Server Technology
Oracle Corporation


PROGRAM COMITTEE

Ailamaki Anastasia, EPFL, Switzerland
Ashraf Aboulnaga, Qatar Computing Research Institute, Qatar
Khuzaima Daudjee, University of Waterloo, Canada
Vivek Narasayya, Microsoft Research, USA
Beng Chin Ooi, National University of Singapore, Singapore
Neoklis Polyzotis, Google Inc, USA
Jeff Lefevre, University of California Santa Cruz, USA
Ken Salem, University of Waterloo, Canada
Matthias J. Sax, Confluent Inc., USA
Alkis Simitsis, Microfocus Inc, USA
S. Sudarshan, IIT Bombay, India
Herodotos Herodotou, Cyprus University of Technology, Cyprus
Sam Lightstone, IBM, Canada
Kai-Uwe Satler, TU Ilmenau, Germany
Evaggelia Pitoura, University of Ioannina, Greece



COMMUNICATION CHAIR / WEBMASTER

Daniel Petrov, University of Pittsburgh, USA









VENUE