Ontology-Based Personalized Telehealth Scheme in Cloud Computing

Abstract

Cyber Physical Social Systems (CPSS) has been rapidly developing in recent years because of the dramatic growth of mobile techniques and Internet-based technologies. As an emerging novel technical paradigm, cloud computing is becoming an efficient mechanism that has been broadly implemented in multiple fields with using Internet-enabled devices. Telehealth system is one of the crucial domains in applications of Cyber Physical Systems (CPS), which is also considered an important component in smart city. However, Personalized Cloud-based Telehealth (PCTH) is still facing a great challenge due to restrictions deriving from various perspectives, such as cloud resource allocations and real-time information transfers. This paper concentrates on the issue of optimizing the performance of the resource allocation for achieving smart tele-health with obtaining and analyzing real-time data within the dynamic application environment in cloud computing. The dynamic data environment is mainly associated with social connections generated by physicians or health organizations. Along with this focus, we propose a novel approach, entitled Smart Cloud-based Telehealth Cyber Physical Social Systems (SCT-CPSS), to enable mobile CPSS to offer users a real-time health information service based on the social networking behaviors and inputs. Main algorithms used in this proposed mechanism include Real-Time Matching with Dynamic Programming Algorithm (RTM-DPA) and Monte Carlo-based Real-Time Analysis Algorithm (MC-RTAA). Our experiment examination has evaluated the performance of the proposed paradigm.