Abstract

The energy consumption of the information and communication technology sector has become a significant portion of the total global energy consumption, warranting research efforts to attempt to reduce it. The pre-requisite for effectual energy management is the availability of the current power consumption values from network devices. Previous works have attempted to estimate and model the consumption values or have measured it using intrusive approaches such as using an in-line power meter. Recent trends suggest that information models are being increasingly used in all aspects of network management. This paper presents a framework developed for enabling the collection of real-time power consumption information from the next generation of networking hardware non-intrusively by employing information models. The experiment results indicate that it is feasible to gather power consumption data using standardized IETF information models, or non-standard customized information models, or through abstracting and exposing the information in a uniform format when no support for the required information models exists. Functional validation of the proposed framework is performed and the results from this research could be leveraged to make energy-efficient network management decisions.

Highlights

  • Can a Standardized Internet Engineering Task Force (IETF) Information Model Be Employed to Retrieve Power Information from Network Devices?. To test this sub-problem, the power monitoring application developed first discovered the five simulated network agents from the Network Source of Truth (NSoT) file which contained the information required to connect to the agents using SNMP—agent IP and port, SNMP version, security level, authentication protocol, authentication key, security name, encryption protocol, and encryption key

  • Of network energy management, it is expected that an increasing number of the generation of networking hardware will include the capability to measure their power consumption

  • The experiment results indicate that an SNMP MIB can be used to gather that information in real time

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Summary

Introduction

The energy consumption of this infrastructure has been rising steadily from 1815 TWh or 8% of the global energy use in 2012, to 2547 TWh or 10% of the global energy use in 2017 [1]. These energy consumptions translate into large carbon footprints since most of the energy produced globally still comes from burning fossil fuels, which is a carbon-intensive approach to energy production [2]. The network infrastructure alone is predicted to consume 2641 TWh by 2030 making it a considerable portion of the total ICT energy consumption. These numbers indicate that efforts to reduce energy consumption in computer networks are necessitated

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