On the relationship between changes in distributed system behavior and group dynamics

Shaimaa Y. Lazem, D. Gračanin, S. Harrison
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引用次数: 3

Abstract

What, if any, are the effects of the changes in distributed systems behavior on the social dynamics of distributed groups? The rapid evolution of cloud infrastructures, portable devices and multimedia services has enabled cooperation among strangers in online environments that lack quality of service guarantees. Group members experience delays and inconsistencies in the shared state. Previous research on delays focuses on tightly-coupled tasks and assumes that individual and group interests are aligned. In reality, individual participation in a group depends on how a participant weighs the value and the cost of cooperation. That tension is well captured in mixed-motive tasks (e.g., a social trap). A study was conducted, where 15 groups performed a loosely-coupled task that simulates social traps. Group members experienced a gradual degradation of system performance in the form of complex delays. Groups exhibited different adaptation patterns to the changes in the system behavior. There is no guarantee that group adaptation will always keep the status quo. System interventions are needed to maintain group dynamics.
论分布式系统行为变化与群体动力学的关系
如果有的话,分布式系统行为的变化对分布式群体的社会动态有什么影响?云基础设施、便携式设备和多媒体服务的快速发展使陌生人在缺乏服务质量保证的在线环境中进行合作成为可能。组成员在共享状态中经历延迟和不一致。先前关于延迟的研究主要集中在紧密耦合的任务上,并假设个人和群体的利益是一致的。实际上,个人在群体中的参与度取决于参与者如何衡量合作的价值和成本。这种紧张关系在混合动机任务中表现得很好(例如,社交陷阱)。进行了一项研究,15组人执行一项模拟社会陷阱的松散耦合任务。小组成员以复杂延迟的形式经历了系统性能的逐渐退化。各组对系统行为的变化表现出不同的适应模式。没有人能保证群体适应总是保持现状。需要系统干预来维持群体动力。
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