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2nd Workshop 'Data Management in the Cloud' and
'Herbsttreffen der GI-Fachgruppe Datenbanken'

in conjuction with the 44. Jahrestagung der Gesellschaft für Informatik (GI), Stuttgart, 22-26. September 2014

Call for Papers

Cloud computing has emerged as an important paradigm enabling software, infrastructure, and information to be used as services over the network in an on-demand manner. In particular, it is an attractive paradigm for large scale data management as sharing, disseminating and analyzing large data sets has become a critical issue for a multitude of application areas. Managing Big Data is equally important in engineering, science and medicine as it is in business, finance and retail. In the automotive industry, for instance, the increasing number of sensors used in production, the increasing importance of social media monitoring and the increasing presence of the connected car result in heterogeneous and massive data sets covering valuable insights for short-term operational decisions as well as for long-term decisions on products and services. To unveil and exploit these insights several challenges with respect to managing, querying and analyzing huge amounts of data as well as privacy and security issues need to be addressed.

The workshop will provide a forum to bring together researchers and practitioners interested in research and system issues at the intersection of data management and cloud computing. The DMC workshop calls for contributions that address research or system issues in cloud data management, including, but not limited to:

  • Scalable data analytics and knowledge discovery
  • Data models and query languages
  • Data intensive scalable computing
  • Query processing and indexing in cloud computing systems
  • Cloud computing infrastructure for big data storage and computing
  • Database as a Service
  • Transactional models for cloud databases
  • Resource and workload management
  • Cloud privacy and security
  • Content management and content distribution for big data
  • Cloud-based applications for automotive, sensor data, scientific data etc.
  • Linked open data management
  • Novel data-intensive applications
  • Benchmarking, tuning, and testing

The workshop welcomes papers that address fundamental research issues in this challenging area as well as descriptions of work-in-progress, preliminary results, experience reports and case studies. Papers can be written in English or German and should not exceed 12 pages in length (LNI style). Papers must be submitted electronically in PDF format. Paper submission is via EasyChair.

Important dates

  • Submission due to: May 12, 2014
  • Notification of acceptance: June 4, 2014
  • Camera ready versions due to: June 23, 2014
  • Workshop: September 22+23, 2014