Measuring and Analyzing Emerging Properties for Autonomic Collaboration Service Adaptation

  • Authors:
  • Christoph Dorn;Hong-Linh Truong;Schahram Dustdar

  • Affiliations:
  • Distributed Systems Group, Vienna University of Technology, Austria;Distributed Systems Group, Vienna University of Technology, Austria;Distributed Systems Group, Vienna University of Technology, Austria

  • Venue:
  • ATC '08 Proceedings of the 5th international conference on Autonomic and Trusted Computing
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

Dynamic collaboration environments in which team member utilize different pervasive collaboration services for their collaborative work pose many challenges for service adaptation. Given a team, the underlying collaboration services must fulfil the team's goal. Thus, it is not enough to adapt collaboration services to the context of an individual. One needs to understand the behavior of the team and the collaboration services in order to adapt these services. Though many research efforts aim at understanding team behavior at the human level, there is no such a framework that focuses on adapting collaboration services for teamwork.In this paper, we introduce a set of novel metrics that characterizes emergent behavior of teams. We present a team analysis and adaptation framework (TAAF) which monitors diverse collaboration services, analyzes and provides relevant metrics for understanding dynamic teams and for continuous team and service adaptation. This paper also discusses how TAAF can be used to support self-management of collaboration services for collaborative teams.