Development fault tolerance for healthcare system on fog computing

Due to the revolution in the Internet of Things (IoT) devices and the huge amount of messages sent to cloud servers, Fog Computing (FC) was used. Data in Motion (DM) technique was employed on FC to enhance cloud storage capacity by selecting essential messages to cloud while erasing the rest messages from FC. Dynamic Weighted Round Robin (DWRR) algorithm was used to distribute load among fog servers to increase throughput. Dynamic checkpoint interval was used on FC to provide efficient Fault Tolerance (FT) for Primary-Backup Replication (PBR) technique. Backup fog server performs DM when primary fog server stops working. This contributes to minimizing the effort on backup server by reducing the makespan of the DM and enhancing the storage capacity of backup server to about double, which in turn leads to enhance backup server performance. Moreover, proposed system contributes to advance backup server technique by providing two load balancers to prevent a Single Point of Failure (SPOF).