An approach for implementation of artificial intelligence in automatic network management and analysis

Abstract

The fast development of the Internet and the huge number of gadgets connected to it has immerged with the challenge of focusing on the requirement for further computerization and automation in the system administration and architecture of network field. It is becoming increasingly difficult for businesses to afford a downtime in their Internet system and it is also very important to make configuration management and error reduction easy [1]. Some of the tasks which are involved in the management of network configuration include maintaining configuration files, building a standard for all the device maintenance, repair, replacement and upgrades, issue proper rollback commands and have a proper backup archive [2]. There are certain assumptions, rather, wrong assumptions for networks, as this leads to complicate structure for managing the overloaded content with a very high time consuming nature. Thus, automated networks control the data or packets around the heterogenous networks, providing higher response time for better communication services [3]. Automatic management control permits to proficiently utilize the connection and hub limits. A second point of interest is adaptable control when burden condition changed quickly amid times of over-burden and hardware failures. Automatic management network has been developed and has been improvised for maintaining the flow control, proper memory utilization and improving the routing capacity [6].