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Special Session
Special Session on
Adaptive Data Management meets Self-Adaptive Systems
 - EDDY 2019

26 - 28 July, 2019 - Prague, Czech Republic

Within the 8th International Conference on Data Science, Technology and Applications - DATA 2019


Dirk Habich
Technische Universität Dresden
Brief Bio
Dirk Habich is a senior research assistant at the database systems group at Technische Universität Dresden (TU Dresden). He received his diploma in Computer Science in 2003 from Martin-LutherUniversität Halle-Wittenberg. Afterwards, he continued his studied at TU Dresden, whereby he finished his dissertation in 2008 and his habilitation in 2018. His current research interests include database architectures and programming concepts for in-memory processing on large-scale multiprocessor systems as well as hardware/software co-design for database systems. For that, he is actively involved in several major projects at the TU Dresden, including the Cluster of Excellence cfaed (Center for Advancing Electronics Dresden), the Collaborative Research Center HAEC (Highly Adaptive Energy - Efficient Computing) and the DFG Research Training Group "Role-oriented Software Infrastructures" (RoSI). In summa, Dirk Habich is author or co-author of more than 100 publications at international and national conferences, workshops and journals.
Thomas Kühn
Technische Universität Dresden
Brief Bio
Thomas Kühn is a member of the Software Engineering group of the Technische Universität Dresden. His research interests include software engineering for continuous context-sensitive software systems, role-based design and programming, conceptual modeling of dynamic context-dependent domains, formal verification of software systems, feature oriented software and language product lines. He had a position within the DFG research training school on "Role-oriented Software Infrastructures", where he defended his PhD thesis on "Families of Role-based Modeling and Programming Languages". Currently, he has a federal position teaching Model-Driven Software Development and Component-Based Software Systems.
Thomas Springer
Dresden University of Technology
Brief Bio
Thomas Springer received his PhD in Computer Science from TU Dresden in 2004. He is currently working as a senior researcher at the department of computer networks headed by Prof. Schill in Dresden. Since 1998 he has been involved in research and coordination of numerous projects dealing with mobile and ubiquitous computing, internet of things and cloud computing. Among his research interests are context-dependent and self-adaptive systems in distributed setups, engineering of mobile applications, system support for mobile collaboration and smart mobility as well as crowdsourcing and gamification. Thomas Springer was involved in the organization of several workshops and conferences, among them PerCol 2010 - 2016. He also served as a reviewer for workshops, conferences, and journals like Elsevier Pervasive and Mobile Computing, IEEE Transactions on Autonomous and Adaptive Systems, and IEEE Communications Magazine. Thomas Springer is author and co-author of numerous publications, including a book about distributed systems.


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, modelling paradigms, and to identify new directions. 


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 to Context-Sensitive Knowledge
  • Self-Adaptive Systems for Data Management
    • Schema Evolution
    • Adaptive Query Processing
    • Adaptive Data Analytics
    • Adaptive Physical Design
    • Adaptive Physical Data Representation


It will be a one-day satellite event at the DATA 2018 Conference with a special keynote, a set of oral presentation and breakout sessions led by the organizers. There will be several sessions; each session will consist of technical talks (proposals by extended abstracts of 2 pages) and short discussions on the topic of the talks. After each session, we will be a break-out session with an in-depth discussion. At the end of the day there will be a summary of outcomes and goals for the next such event. We hope to inspire a sequence of events and the creation of an international collaborative network that will lead to the close collaboration between data management and self-adaptive systems.


Paper Submission: May 28, 2019
Authors Notification: June 12, 2019
Camera Ready and Registration: June 21, 2019


Available soon.


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
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.


After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (CPCI/ISI), DBLP, EI (Elsevier Engineering Village Index), Scopus, Semantic Scholar and Google Scholar.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library


DATA Special Sessions - EDDY 2019
e-mail: data.secretariat@insticc.org