Sensors, Vol. 22, Pages 143: Intelligent Approach to Network Device Migration Planning towards Software-Defined IPv6 Networks

Sensors, Vol. 22, Pages 143: Intelligent Approach to Network Device Migration Planning towards Software-Defined IPv6 Networks Sensors doi: 10.3390/s22010143 Authors: Babu R. Dawadi Danda B. Rawat Shashidhar R. Joshi Pietro Manzoni Internet and telecom service providers worldwide are facing financial sustainability issues in migrating their existing legacy IPv4 networking system due to backward compatibility issues with the latest generation networking paradigms viz. Internet protocol version 6 (IPv6) and software-defined networking (SDN). Bench marking of existing networking devices is required to identify their status whether the existing running devices are upgradable or need replacement to make them operable with SDN and IPv6 networking so that internet and telecom service providers can properly plan their network migration to optimize capital and operational expenditures for future sustainability. In this paper, we implement “adaptive neuro fuzzy inference system (ANFIS)”, a well-known intelligent approach for network device status identification to classify whether a network device is upgradable or requires replacement. Similarly, we establish a knowledge base (KB) system to store the information of device internetwork operating system (IoS)/firmware version, its SDN, and IPv6 support with end-of-life and end-of-support. For input to ANFIS, device performance metrics such as average CPU utilization, throughput, and memory capacit...
Source: Sensors - Category: Biotechnology Authors: Tags: Article Source Type: research