异构网络之上的个性化普适服务

Yuping Yang, R. Everson, R. Dewar, M. H. Williams
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引用次数: 1

摘要

普适计算的挑战之一是提供满足个人用户目标的个性化服务。要实现这一点,需要考虑包括用户首选项在内的丰富上下文信息。本文介绍了在欧洲项目Daidalos中采用的一种个性化方法。它在服务组合中起着至关重要的作用,协助QoS配置,并在考虑用户隐私的同时为底层网络层提供支持
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Personalizing Pervasive Services on Top of Heterogeneous Networks
One of the challenges in pervasive computing is to provide personalized services which satisfy individual user goals. To achieve this, rich context information including user preferences need to be considered. This paper describes a personalization approach which is adopted in the European project Daidalos. It plays a paramount role in service composition, assists in QoS configuration, and provides support to the underlying network layer whilst user privacy is taken into account
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