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With the ongoing shift to a data-driven world in almost all application domains, the management and interpretation/analytics of large amounts of data gain in importance. Moreover, an increasingly important requirement for data management systems is the ability to self-manage by adapting at runtime (1) to react on changing workload and data characteristics or (2) to balance performance and energy-efficiency constraints. Generally, the topic of self-adaptive and self-managing systems has been studied in a variety of applications areas, including autonomic computing, robotics, control systems, and software architectures. The purpose of this special session is to foster the collaboration between disciplines. This special session is the ideal venue for discussing what can be shared in terms of experience, concepts, techniques, modeling paradigms, and to identify new directions.
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Topics of Interest
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Topics of interest include, but are not limited to:
Challenges and Solutions for Adaptive Data Management
* Application scenarios and use cases
* Requirements and challenges
* Structured literature reviews
* Experimental results
Data Management in Self-Adaptive Software Systems
* Context modeling and management
* Continuous data acquisition and retrieval
* Incremental reasoning and situation detection
* Unanticipated adaptation of the knowledge base
* Ontology-based database access over context-sensitive knowledge
Self-Adaptive Systems for Data Management
* Schema Evolution
* Adaptive Query Processing
* Adaptive Data Analytics
* Adaptive Physical Design
* Adaptive Physical Data Representation
Distributed Self-Adaptive Data Management
* Data management in dynamically changing environments
* Adaptive data management for unstable network infrastructures
* Data management in resource-constraint environments
* Distributed query processing
* Distributed data analytics
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Important Dates
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Submission Deadline: May 28, 2019
Notification: June 12, 2019
Camera-Ready: June 21, 2019
Special Session: July 26th-28th, 2019
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Important Links
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* [Workshop website](http://www.dataconference.org/EDDY.aspx)
* [Conference website](http://www.dataconference.org)
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Submission
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Prospective authors are invited to submit papers in any of the topics listed above. Instructions for preparing the manuscript (in Word and Latex formats) are available at: [Paper Templates](http://www.dataconference.org/Templates.aspx). Please also check the [Guidelines](http://www.dataconference.org/Guidelines.aspx). Papers must be submitted electronically via the web-based submission system using the direct link or the appropriate button on the web page of the special session.
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Organizing Committee
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* Dirk Habich *(Technische Universität Dresden, Germany)*
* Thomas Kühn *(Technische Universität Dresden, Germany)*
* Thomas Springer *(Technische Universität Dresden, Germany)*
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