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Measuring and analyzing emerging properties for autonomic collaboration service adaptation.
| Content Provider | CiteSeerX |
|---|---|
| Author | Truong, Hong-Linh Dustdar, Schahram Dorn, Christoph |
| Abstract | 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. 1 |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Many Challenge Novel Metric Autonomic Collaboration Service Adaptation Team Analysis Continuous Team Collaborative Work Team Behavior Human Level Dynamic Collaboration Environment Emergent Behavior Emerging Property Dynamic Team Collaboration Service Relevant Metric Service Adaptation Team Goal Many Research Effort Collaborative Team Adaptation Framework |
| Content Type | Text |
| Resource Type | Article |
