Abstract
Despite the well-development of smart living space research field, Smart Home is still more like a luxury product than a daily necessity for most families. Operations management issues are essential for a new technology to be accepted by the mass consumer market. However, only few attempts have been made toward this direction. In this paper, we present the design and implementation of a CWMP-based platform that supports autonomic operations management. The experiment results show that the proposed approach is stable and is able to drive the operations tasks smoothly. We also demonstrate the feasibility of the platform by realizing two application scenarios supported by the prototype of the proposed approach.
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This work is sponsored by Ministry of Science and Technology, Taiwan, under grant 104-2221-E-004-001 and 104-2815-C-004-008VE.
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Liao, CF., Huang, ST., Wang, YC. (2016). Autonomic Smart Home Operations Management Using CWMP: A Task-Centric View. In: Fujita, H., Ali, M., Selamat, A., Sasaki, J., Kurematsu, M. (eds) Trends in Applied Knowledge-Based Systems and Data Science. IEA/AIE 2016. Lecture Notes in Computer Science(), vol 9799. Springer, Cham. https://doi.org/10.1007/978-3-319-42007-3_82
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DOI: https://doi.org/10.1007/978-3-319-42007-3_82
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