Abstract

Abstract To date, significant effort has gone into designing green traffic engineering (TE) techniques that consolidate traffic onto the minimal number of links/switches/routers during off-peak periods. However, little works exist that aim to green Multi-Protocol Label Switching (MPLS) capable networks. Critically, no work has studied the performance of green label switched paths (LSPs) establishment methods in terms of energy savings and acceptance rates. Henceforth, we add to the current state-of-the-art by studying green online and offline (LSP) establishment methods. Online methods rely only on past and current LSP requests while offline ones act as a theoretical benchmark whereby they also have available to them future LSP requests. We introduce a novel metric that takes into account both energy savings and acceptance rates. We also identify a new simpler heuristic that minimizes energy use by routing source–destination demands over paths that contain established links and require the fewest number of new links. Our evaluation of two offline and four online LSP establishment methods over the Abilene and AT&T topologies with random LSP setup requests show that energy savings beyond 20 % are achievable with LSP acceptance rates above 90 %.

Highlights

  • The Climate Group Organization [1] reports that the Information and Communication Technology (ICT) industry accounts for up to 2 % of global carbon gas emissions

  • These works can be categorized as (i) sleeping [10], which aims to place subcomponents of devices or devices themselves to sleep, (ii) link adaptation [11], which scales the energy consumption according to varying link utilization, (iii) proxying [8], which reduces network chatters by way of a proxy, and lastly (iv) traffic engineering (TE) [12,13,14,15,16], whereby traffic is routed across the minimal number of links and routers

  • 6 Conclusions In this paper, we have analyzed the problem of reducing the energy consumption of an Multi-Protocol Label Switching (MPLS) network using online and offline path establishment methods

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Summary

Introduction

The Climate Group Organization [1] reports that the Information and Communication Technology (ICT) industry accounts for up to 2 % of global carbon gas emissions. The authors of [8] indicate that the United States of America (USA) alone uses 24 TWh per year, costing around $24 billion annually In their seminal work, Gupta et al [9] highlighted the need to reduce the energy consumption of the Internet. A number of works have studied green TE approaches that consider application and data center characteristics; e.g., [17,18,19,20] Another is designing energy aware protocols for next-generation networks such as Internet of Things [21, 22], vehicular networks [23, 24], and wireless sensor/mesh networks [25, 26]

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