Reference : Concurrency-Based and User-Centric Collaboration for Distributed Compound Document Au...
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/33017
Concurrency-Based and User-Centric Collaboration for Distributed Compound Document Authoring
English
Klein, Johannes mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Botev, Jean mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Rothkugel, Steffen mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
2017
Proceedings of the 2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD)
IEEE
168-173
Yes
2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD 2017)
from 26-04-2017 to 28-04-2017
Wellington
New Zealand
[en] The collaborative authoring of complex document structures by geographically distributed users is no longer a special case in today's global economy or people's personal lives. However, integrating single-user application responsiveness and feature sets with the additional demands and expectations presented towards distributed multi-user environments remains a challenge. Current solutions approaching this challenge almost exclusively rely on traditional, file-based data structures. This often introduces arbitrary workflow restrictions to the user and reduces the potential to benefit from an otherwise inherently concurrent system. Our distributed compound document authoring environment aims at addressing these challenges while providing system-level collaboration support to the user. We attain this through the close integration of a fine-grained data structure with a highly scalable, priority-based concurrency model for command distribution and application. This paper discusses our enhanced data representation and concurrency model together with the evaluation of their prototypical implementation.
http://hdl.handle.net/10993/33017
10.1109/CSCWD.2017.8066689

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