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On context-aware distributed event dissemination

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Abstract

In pervasive environments, the Pub/Sub paradigm is regarded as an important means of information sharing and event dissemination. In this paper, we first analyze different context in Pub/Sub systems that has remarkable impacts upon user’s satisfaction to event dissemination and then give corresponding strategies by exploiting time context and event-preference context so as to provide personalized event dissemination. That is, by leveraging time context, we provide the extended matching against long-standing events, and by leveraging event-preference context, we present the recommendation algorithm which is based on hidden Markov process. Performance analysis and experiment evaluation show that both strategies can improve user’s experiences of event dissemination.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China under Grant No. 60970027 and the National Hi-Tech Research and Development 863 Program of China under Grant No. 2008AA04A105.

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Authors and Affiliations

  1. Institute of Software, Chinese Academy of Sciences, Beijing, China

    Chen Lin, Beihong Jin, Zhenyue Long & Haibiao Chen

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  1. Chen Lin
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  2. Beihong Jin
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  3. Zhenyue Long
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  4. Haibiao Chen
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Correspondence to Chen Lin or Beihong Jin.

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Lin, C., Jin, B., Long, Z. et al. On context-aware distributed event dissemination. Pers Ubiquit Comput 15, 305–314 (2011). https://doi.org/10.1007/s00779-010-0330-8

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  • DOI: https://doi.org/10.1007/s00779-010-0330-8

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