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Special Session
Special Session on
Adaptive Data Management meets Self-Adaptive Systems
 - EDDY 2018

26 - 28 July, 2018 - Porto, Portugal

Within the 7th International Conference on Data Science, Technology and Applications - DATA 2018


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.
Wolfgang Lehner
Technische Universität Dresden
Brief Bio
Prof. Dr.-Ing. Wolfgang Lehner is full professor and head of the database systems group at Technische Universität Dresden (TU Dresden), Germany. He received his Master’s degree in Computer Science in 1995 from University of Erlangen-Nuremberg. He continued his studies as research assistant at the database system group until 1998, when he earned his Ph.D. degree (Dr.-Ing.) with a dissertation on optimization of aggregate processing in multidimensional database systems. In 7/2001 he finished his habilitation with a thesis on subscription systems and was therefore awarded with the venia legendi. Wolfgang Lehner conducts are variety of different research projects with his team members ranging from designing data-warehouse infrastructures from a modeling perspective, supporting data-intensive applications and processes in large distributed information systems, adding novel database functionality to relational database engines to support data mining/forecast algorithms, investigating techniques of approximate query processing (e.g. sampling) to speed up execution times over very large data sets, and exploiting the power of main-memory centric database architectures with an emphasis on modern hardware capabilities. Apart from basic and mostly theoretic research questions (supported by Technische Universität Dresden and the German Research Foundation, DFG) Prof. Lehner puts a strong emphasis on practical research work in combination with industrial cooperations, on an international, national, and regional level. Since 2013, Wolfgang Lehner leads the the DFG Research Training Group "Role-oriented Software Infrastructures" (RoSI), which develops new techniques for context-adaptive software, from language and application design to run time (rosi-project.org).
Uwe Assmann
Technische Universität Dresden

Brief Bio
Uwe Aßmann holds the Chair of Software Engineering at the Technische Universität Dresden. He has obtained a PhD in compiler optimization and a habilitation on "invasive software composition" (ISC), a composition technology for code fragments enabling flexible software reuse. ISC unifies generic, connector-, view-, and aspect-based programming for arbitrary program or modeling languages. Since 2013, Aßmann is deputy of the DFG Research Training Group "Role-oriented Software Infrastructures" (RoSI), which develops new techniques for context-adaptive software, from language and application design to run time (rosi-project.org). Current projects for context- adaptive, role-based software include an architectural language for roles (SMAGS st.inf.tu-dresden.de/smags/), a Scala library for roles, roles for modeling emergence in SoS, and pseudonym roles for security.
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.
Kai Herrmann
Technische Universität Dresden

Brief Bio
Kai Herrmann is a PostDoc in the Dresden Database Systems Group at the Technische Universität Dresden. He received his PhD degree from both the Technische Universität Dresden and the Aalborg Universitet for his thesis on Multi-schema-Version Data Management. The work was conducted in the Research Training Group "Role-oriented Software Infrastructures" (RoSI), which pushes the role-based software development paradigm to foster adaptivity and flexibility of software systems. His research interests are agile database evolution, database versioning, zero-downtime migration, flexible data management in cloud applications, and data analytics.


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


Paper Submission: June 11, 2018 (expired)
Authors Notification: June 19, 2018 (expired)
Camera Ready and Registration: June 27, 2018 (expired)


Andreas Behrend, University of Bonn, Germany
Matthias Boehm, IBM Research - Almaden, United States
Nicolás Cardozo, Universidad de los Andes, Colombia

(list not yet complete)


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 The DBLP Computer Science Bibliography, Web of Science / Conference Proceedings Citation Index, Engineering Index (EI) and SCOPUS.
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 2018
e-mail: data.secretariat@insticc.org