Case Study of a Multisensor Patient Network and Microservices Managed by Fog Computing
Mantas Kazlauskas, Dalius Navakauskas · 2021
Fog Computing is a new paradigm of Internet of Things shifting services from Cloud closer to the Edge. It allows real-time execution, low latency, effective energy consumption and data privacy. Fog Computing solutions could greatly benefit Health Care as it is one of the most expensive person-centered industries. This article discusses a case of multisensor patient health data collection network working with Fog Computing devices and the Cloud. Patient multisensor network simulations of Fog and Cloud Computing hardware and Microservices with iFogSim2 were performed to estimate the performance ensuring quality of service requirements. Multisensor application model and performance evaluation for different multisensor scenarios utilizing distributed Microservice placement is presented.