期刊
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
卷 113, 期 1, 页码 346-359出版社
ELSEVIER IRELAND LTD
DOI: 10.1016/j.cmpb.2013.09.013
关键词
Cloud computing; Diabetes detection; Application behavior; Quality of service; Resource elasticity
The promising potential of cloud computing and its convergence with technologies such as mobile computing, wireless networks, sensor technologies allows for creation and delivery of newer type of cloud services. In this paper, we advocate the use of cloud computing for the creation and management of cloud based health care services. As a representative case study, we design a Cloud Based Intelligent Health Care Service (CBIHCS) that performs real time monitoring of user health data for diagnosis of chronic illness such as diabetes. Advance body sensor components are utilized to gather user specific health data and store in cloud based storage repositories for subsequent analysis and classification. In addition, infrastructure level mechanisms are proposed to provide dynamic resource elasticity for CBIHCS. Experimental results demonstrate that classification accuracy of 92.59% is achieved with our prototype system and the predicted patterns of CPU usage offer better opportunities for adaptive resource elasticity. (C) 2013 Elsevier Ireland Ltd. All rights reserved.
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