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Measuring and Analyzing Emerging Properties for Autonomic Collaboration Service Adaptation

机译:测量和分析自主协作服务适应性的新兴属性

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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.
机译:团队成员在其中使用不同的普遍协作服务进行协作工作的动态协作环境为服务适应提出了许多挑战。对于一个团队,基础协作服务必须实现团队的目标。因此,仅使协作服务适应个人环境是不够的。为了适应这些服务,需要了解团队和协作服务的行为。尽管许多研究工作旨在了解人类水平上的团队行为,但没有这样一个框架来专注于为团队工作调整协作服务。在本文中,我们介绍了一组新颖的指标来描述团队的突发行为。我们提供了一个团队分析和适应框架(TAAF),该框架监视各种协作服务,进行分析并提供相关的指标,以了解动态团队以及持续的团队和服务适应。本文还讨论了如何使用TAAF支持协作团队的协作服务的自我管理。

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