Title :
An Approach for Generating Monitoring Component in Smart Home
Author :
Kuo Liao ; Xiangping Chen
Author_Institution :
Sch. of Inf. Sci. & Technol., Sun Yat-sen Univ., Guangzhou, China
Abstract :
Monitoring is an essential part of smart home technology, and monitoring data are applied to optimize a number of different goals. However, the monitoring component is uneasy to implement by hard coding, and it is time consuming and error prone. In this paper, we propose an approach for generation of monitoring component. We first extend a meta-modeling language with data source specification that define how to monitor elements of target system, then implement monitoring component which include data collector and model constructor base on the extension meta-model utilizing code generation technology. We apply the approach on three systems, the results show that the approach can efficiently implement a monitoring component and reduce development costs and maintenance costs.
Keywords :
formal specification; home computing; system monitoring; ubiquitous computing; code generation technology; data collector; data source specification; extension metamodel; hard coding; metamodeling language; model constructor; monitoring component; smart home technology; Adaptation models; Data models; Decision support systems; Java; Monitoring; Runtime; Smart homes; code generation; meta-model; monitoring component;
Conference_Titel :
Digital Home (ICDH), 2014 5th International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4799-4285-5
DOI :
10.1109/ICDH.2014.56