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Conflict Resolution in Collective Ubiquitous Context-Aware Applications

机译:集体无处不在的上下文感知应用程序中的冲突解决

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The context-aware computing is a research field that defines systems capable of adapting their behavior according to any relevant information about entities of interest. The ubiquitous computing is closely related to the use of contexts, since it aims to provide personalized, transparent and on-demand services. Ubiquitous systems are frequently shared among multiple users, which may lead to conflicts that occur due to individual profiles divergences and/or environment resources incompatibility. In such situations it is interesting to detect and solve those conflicts, considering what is better for the group but also being fair enough with each individual demand, whenever possible. This work presents the important concepts on the collective ubiquitous context-aware applications field. Furthermore, it proposes a novel methodology for conflicts detection and resolution that considers the trade-off between quality of services and resources consumption. A case study based on a collective tourist guide was implemented as a proof-of-study to the proposed methodology.
机译:上下文感知计算是一个研究领域,它定义了能够根据有关感兴趣实体的任何相关信息来调整其行为的系统。普适计算与上下文的使用紧密相关,因为它旨在提供个性化,透明和按需的服务。无处不在的系统经常在多个用户之间共享,这可能会导致冲突,这是由于各个配置文件差异和/或环境资源不兼容而引起的。在这种情况下,检测并解决这些冲突是很有趣的,既要考虑对团队更有利的情况,又要尽可能满足每个个人的需求。这项工作提出了在普遍存在的上下文感知应用程序领域中的重要概念。此外,它提出了一种用于冲突检测和解决的新颖方法,该方法考虑了服务质量和资源消耗之间的折衷。实施了一个基于集体游客指南的案例研究,作为对拟议方法的研究证明。

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