集体泛在上下文感知应用中的冲突解决

T. R. Silva, L. B. Ruiz, A. Loureiro
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引用次数: 0

摘要

上下文感知计算是一个研究领域,它定义了能够根据感兴趣的实体的任何相关信息调整其行为的系统。无处不在的计算与上下文的使用密切相关,因为它旨在提供个性化、透明和随需应变的服务。无处不在的系统经常在多个用户之间共享,这可能导致由于个人配置文件差异和/或环境资源不兼容而发生的冲突。在这种情况下,发现和解决这些冲突是很有趣的,考虑到什么对团队更好,但也要尽可能公平地对待每个人的需求。本文提出了集体泛在上下文感知应用领域的重要概念。此外,它还提出了一种新的冲突检测和解决方法,该方法考虑了服务质量和资源消耗之间的权衡。一个基于集体导游的案例研究被实施,作为对拟议方法的研究证明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Conflict Resolution in Collective Ubiquitous Context-Aware Applications
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.
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