Abstract: In an approach to smart joint monitoring for bleeding disorder patients, one or more sets of data are received from a smart joint monitor, where the smart joint monitor includes one or more sensors. One or more criticalities are detected, where the one or more criticalities are detected by an artificial intelligence engine based on the one or more sets of data and a global knowledge base. One or more suggestions are determined, where the one or more suggestions are determined by the artificial intelligence engine based on the one or more criticalities and the global knowledge base.

Abstract: Techniques described in this disclosure relate to configuration updates, such as performing an in-service software upgrade on a device, using virtual machines. In a routing device, a routing engine utilizes a virtual machine executing on a hypervisor to provide control plane functions. In one example, an in-service software upgrade may be performed between a first virtual machine and a second virtual machine without a managing virtual machine. More specifically, a first virtual machine in the control plane of the router may control the upgrade process, including requesting initialization of the second virtual machine, installing a new software system on the second virtual machine, and replicating state data from the first virtual machine to the second virtual machine. In this example, the first virtual machine may operate as a master virtual machine and the second virtual machine may operate as a slave virtual machine that synchronizes with the master virtual machine.