Abstract :
Ubiquitous healthcare services are becoming more and more popular, especially under the urgent demand of the global aging issue. Cloud computing owns the pervasive and on-demand service-oriented natures, which can fit the characteristics of healthcare services very well. However, the abilities in dealing with multimodal, heterogeneous, and nonstationary physiological signals to provide persistent personalized services, meanwhile keeping high concurrent online analysis for public, are challenges to the general cloud. In this paper, we proposed a private cloud platform architecture which includes six layers according to the specific requirements. This platform utilizes message queue as a cloud engine, and each layer thereby achieves relative independence by this loosely coupled means of communications with publish/subscribe mechanism. Furthermore, a plug-in algorithm framework is also presented, and massive semistructure or unstructured medical data are accessed adaptively by this cloud architecture. As the testing results showing, this proposed cloud platform, with robust, stable, and efficient features, can satisfy high concurrent requests from ubiquitous healthcare services.
Keywords :
biomedical communication; cloud computing; geriatrics; health care; medical computing; medical information systems; message passing; ubiquitous computing; cloud computing; cloud engine; efficient cloud platform; global aging issue; heterogeneous physiological signals; massive semistructure; message queue; multimodal physiological signals; nonstationary physiological signals; on demand service oriented paradigm; persistent personalized services; pervasive service oriented paradigm; plug in algorithm framework; private cloud platform architecture; publish-subscribe mechanism; ubiquitous healthcare services; unstructured medical data; Algorithm design and analysis; Cloud computing; Computer architecture; Data mining; Distributed databases; Medical services; Cloud computing; healthcare services; plug-in algorithm; ubiquitous; Algorithms; Electrocardiography; Electronic Health Records; Health Services Accessibility; Humans; Information Storage and Retrieval; Internet; Medical Informatics; Models, Theoretical; Monitoring, Physiologic; Telemedicine;
