Issue No. 06 - Nov.-Dec. (2016 vol. 3)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCC.2016.130
Xiaokang Wang , Huazhong University of Science and Technology
Laurence T. Yang , Huazhong University of Science and Technology
Jun Feng , Huazhong University of Science and Technology
Xingyu Chen , Huazhong University of Science and Technology
M. Jamal Deen , McMaster University
The rapid advances of information, computing, and communication technologies have led to significant enhancements to human living environments. Enhanced living environments (ELEs) encompass the coupling of information technologies (cyber), intelligent devices (physical), and human society (social) for enhanced quality of life. Together, these spaces are referred to as cyber-physical-social systems (CPSSs). For CPSSs to provide high-quality services, improved service frameworks are needed. The framework presented in this article includes a sensing plane, cloud plane, and application plane. In the sensing plane, the relationship of objects in every local CPSS is represented by a local tensor, which is cleaned and uploaded to the cloud plane. In the cloud plane, a global tensor is constructed by integrating all local tensors together. Next, the application plane provides the corresponding high-quality services. A case study using a typical CPSS smart home illustrates a simple application of the proposed service framework.
Tensile stress, Cloud computing, Big data, Sensors, Distributed databases, Silicon, Matrix decomposition
X. Wang, L. T. Yang, J. Feng, X. Chen and M. J. Deen, "A Tensor-Based Big Service Framework for Enhanced Living Environments," in IEEE Cloud Computing, vol. 3, no. 6, pp. 36-43, 2016.