Developing ubiquitous collaborating multi-agent systems based on QoS requirements

  • Authors:
  • Rahat Iqbal;Nazaraf Shah;Anne James;Babak Akhgar;Muhammad Younas;Kuo-Ming Chao

  • Affiliations:
  • Distributed Systems and Modelling Research Group, Faculty of Engineering and Computing, Coventry University, United Kingdom;Informatics Research Group, Faculty of Arts, Computing, Engineering and Sciences, Sheffield Hallam University, United Kingdom;Distributed Systems and Modelling Research Group, Faculty of Engineering and Computing, Coventry University, United Kingdom;Informatics Research Group, Faculty of Arts, Computing, Engineering and Sciences, Sheffield Hallam University, United Kingdom;Department of Computing, Oxford Brookes University, Oxford, United Kingdom;Distributed Systems and Modelling Research Group, Faculty of Engineering and Computing, Coventry University, United Kingdom

  • Venue:
  • CSCWD'06 Proceedings of the 10th international conference on Computer supported cooperative work in design III
  • Year:
  • 2006

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Abstract

Addressing the issues of Quality of Service (QoS) from user perspective is gaining increasing importance in ubiquitous collaborating systems. However, it is difficult to perform an effective and rigorous analysis of QoS user requirements using traditional methods of investigation. To acknowledge this fact, researchers need to move literally as well as metaphorically from the laboratory to the field. In this respect, applying ethnographic methods of investigation can unfold the social aspects of work practices in the "real world". In this paper, we address the issues of QoS in terms of user requirements. We also present an approach based on ethnography and multi-agent systems to address these issues in an effective way by mapping a user mental model onto intelligent agents. We apply an ethnographic approach in order to understand and elucidate the semantics, functionality and detail QoS requirements for a collaborative system in an academic domain. Secondly, we employ agent technology for modelling a collaborative system based on user profiles and preferences.