A Health-Care Architecture Based on Energy-Efficient Cloud Computing

With emerging advancements, the medical domain of health monitoring systems has a necessity to combine cloud computing and IoT technology for the current requirements. This study is concerned with designing IoT modules under the supervision of the Cloud Computing technology connected with a server. The device is used to coordinate people and health care, people and sensors, gateway, and servers with a database. From the sensor point, health maintenance metrics like sugar level, blood pressure status, the oxygen level of the human body, and other parameters will be collected. The records will be transferred by a gateway to the health care server which is connected using the cloud technology. The corresponding gateway is used to receive instructions from the server by analyzing the healthcare metrics from the users. As the server is connected to the cloud technology, a user can transfer the records or receive instructions from the server either in their residential location or any outdoor area. For the efficiency of the system, a Cloud Computing Health care Architecture (CCHA) is designed. Using this health indicating metrics will be transferred through any of the GSM techniques. Through the efficient integration of health care and cloud platform, the interconnection of servers, professional instruction from medical experts, and other value-added services may be added. The CPU usage is 42%, internal usage is 7.55 GHz, and memory utilization is 591.65 Mb. On the whole study of the system, CCHA works efficiently without any restart, crash, and other performancerelated issues.