Abstract
In telemedicine, patient data have to be shared among mobile and geographically dispersed caregivers. The execution environment of telemedicine applications is characterized by hardware and software heterogeneity and can suffer from important variations in resource availability. The data replication can be used to provide significant benefits in terms of data availability and query latency. Moreover, the replication system has to be adaptable to changes of context for a high quality of service. We establish two architectural models, one for distributed replication systems and the other for distributed adaptation systems. We are currently implementing them as two frameworks that can be customized to build an adaptive replication system for a telemedicine application.
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© 2009 Springer-Verlag Berlin Heidelberg
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André, F., Segarra, MT., Zouari, M. (2009). Distributed Dynamic Self-adaptation of Data Management in Telemedicine Applications. In: Mokhtari, M., Khalil, I., Bauchet, J., Zhang, D., Nugent, C. (eds) Ambient Assistive Health and Wellness Management in the Heart of the City. ICOST 2009. Lecture Notes in Computer Science, vol 5597. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02868-7_47
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DOI: https://doi.org/10.1007/978-3-642-02868-7_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02867-0
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