Modeling Human Activities for Service Discovery in Pervasive Computing: The Magubi Approach

被引:0
作者
Ingmarsson, Magnus [1 ]
机构
[1] Linkoping Univ, Dept Comp & Informat Sci, S-58183 Linkoping, Sweden
来源
2008 3RD INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND APPLICATIONS, VOLS 1 AND 2 | 2008年
关键词
Pervasive Computing; Service Discovery; Smart Spaces; Prediction; Modeling;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Service discovery is an important part of pervasive computing. Present mainstream service-discovery protocols are to a high degree focused on the immediate properties of services and devices, as well as ensuring a high degree of connectivity As the amount of discovered available services and devices go tip, the challenge becomes how, to ensure that systems and humans find relevant services, without overloading the systems or humans. Magubi is a model and implementation that is able to not only do advanced standard service discover but also, by viewing human tasks and activities as services, is able to expand the realm of service discovery for pervasive computing while addressing the overload challenge. Here, we present the model, and how we model services, humans, and activities. By, taking the magubi-approach, service discovery also becomes proactive and is able to assist in a wide range of human endeavors.
引用
收藏
页码:737 / 742
页数:6
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