Hybrid Workload Enabled and Secure Healthcare Monitoring Sensing Framework in Distributed Fog-Cloud Network

The Internet of Medical Things (IoMT) workflow applications have been rapidly growing in practice. These internet-based can run on the distributed healthcare sensing system, which combines mobile computing, edge computing and cloud computing. Offloading scheduling are required methods network. However, a security issue exists it is hard to different types tasks (e.g., security, delay-sensitive, delay-tolerant tasks) IoMT heterogeneous nodes. This work proposes new architecture for based nodes layers: an application layer, management resource layer. goal minimize makespan all applications. Based these layers, secure offloading-efficient task (SEOS) algorithm framework, includes deadline division method, sequencing rules, homomorphic scheme, initial scheduling, variable neighbourhood searching method. performance evaluation results show that proposed plans outperform existing baseline approaches terms makespan.