Abstract

An edge computing networks is interconnected and distributed collection of artificial intelligence computing in a specific area. Edge computing networks are complex consisting of geographically distributed artificial intelligence computing and their terminals, united in a single system. According to geographical distribution, edge computing networks are divided into local, city, corporate, global, etc. The equipment and data transmission channels associated with peripherals like Interface cards and devices, Routers and Switching Devices. There are some functional software and hardware components of a edge computing networks available. A system of software and hardware components distributed in space, connected by artificial intelligence computing communication lines. A distinction can be made between hardware and communication devices. Software components include operating systems and network applications. In this paper a next generation artificial intelligence model was proposed for optimize the various performance parameters in edge computing networks. The proposed model monitors the simplest occurrence of contacts between two artificial intelligence computing. The central server considers as a initial node and another node is an edge node of the network. In simple case, the contacts of the system can be felt using the same instructions used to communicate with the external system.