Pro-Active and Pre-Emptive Intelligent Network Management Strategies in Internet of Things

Abstract

Whenever a user browses the internet, the content he sends or receives takes the form a Protocol Data Unit as packets according to the OSI (Open Systems Interconnection) layers. These packets travel from the source to the destination through the path chosen by the routing protocols as OSPF (Open Shortest Path First) and BGP (Border Gateway Protocol). OSPF is used for interior routing within an AS (Autonomous System) and BGP is used for exterior routing between two external AS. Some customers are dual-homed where they have connections to two AS with one as the primary and the other one as secondary. Such diversed enormous traffic generated by the end users and the Internet Service Providers (ISP) have to be efficiently managed and monitored for the purpose of billing, security, QoS (Quality of Service) and SLA(Service Level Agreement) parameters. Hence the existing routing algorithms need to provide intelligent routing. The Simple Network Management Protocol (SNMP) generates the corresponding packets called SNMP traps. These specific packets are exchanged between the server and the appropriate interfaces of the routers when they are being polled. This polling technique generates a utilization graph which indicates the incoming and outgoing traffic at the core layer, distribution layer and access layer. The last mile traffic also has to be examined for checking the the bandwidth utilization. The traditional SNMP also has to incorporate the machine learning technique. This paper focuses on implementing intelligent network management in an Internet of Things environment.