Assessing VoD pressure on network power consumption
Ga\"el Guennebaud, Aur\'elie Bugeau (IUF, LaBRI, UB), Antoine Dudouit

TL;DR
This paper introduces a new methodology to accurately assess the impact of Video on Demand (VoD) streaming on network power consumption by modeling infrastructure at a territorial scale, revealing limitations of traditional efficiency metrics.
Contribution
It proposes a parametric, scalable network model to evaluate VoD impact on power consumption, addressing shortcomings of existing intensity-based assessments.
Findings
Classical efficiency metrics can mislead regarding power consumption.
High bitrate video usage significantly increases network power consumption.
A territorial-scale model provides more accurate impact assessments.
Abstract
Assessing the energy consumption or carbon footprint of data distribution of video streaming services is usually carried out through energy or carbon intensity figures (in Wh or gCO2e per GB). In this paper, we first review the reasons why such approaches are likely to lead to misunderstandings and potentially to erroneous conclusions. To overcome those shortcomings, we propose a new methodology whose key idea is to consider a video streaming usage at the whole scale of a territory, and evaluate the impact of this usage on the network infrastructure. At the core of our methodology is a parametric model of a simplified network and Content Delivery Network (CDN) infrastructure, which is automatically scaled according to peak usage needs. This allows us to compare the power consumption of this infrastructure under different scenarios, ranging from a sober baseline to a generalized use of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCaching and Content Delivery · Peer-to-Peer Network Technologies · Image and Video Quality Assessment
