The core program of Build Classifier in Master Server consists of launching, planning, and controlling the whole decision tree model.
A cluster-based server consists of a front-end dispatcher and multiple back-end servers.
Each video server consists of independent disks and a local buffer memory.
Typically, a server consists of a "Mainboard" and runs several software applications such as "Native Operating System" and "Native Hypervisor" (see Section Services modelling).
The server tier consists of the application servers, which can be dynamically added to or removed from the cluster.
Models of subunits were docked using the ClusPro protein docking server, which consists of systematic global sampling of all mutual orientations of the two proteins on a rotational/translational grid.
The server system consists of multiple virtual machines managed by OpenStack and connected to a database server.
In our case the database system consists of the open source building information model server, the graph database neo4j, which stores the fingerprints, and the content management system mediaTUM, which holds pictures and metadata.
Their model consists of three tiers: content servers serving gadgets, aggregating servers that combine gadgets into mashups, and, finally, Web browsers rendering mashup pages.
OpenPipe [29] utilises Fog computing to implement NLV through a hybrid model, which consists of virtual Software Defined Network (SDN) controller (located in Cloud), virtual local controllers (located in Fog), virtual radio resources (for wireless communication) and virtual cloud server.
