Hi Hesham,
To be specific, what’s your thoughts on the following two use cases.
3- Use traffic analysis and modeling techniques perhaps with AI/ML algorithms to predict which elements to power down/up and when, in such a way to avoid service disruption.
4- Use renewable energy, store it in the router and return back to the energy source the energy that is not used so that someone else can use it.
Thanks,
Tianran
From: Hesham ElBakoury [mailto:helbakoury@xxxxxxxxx]
Sent: Friday, August 5, 2022 9:08 AM
To: Tianran Zhou <zhoutianran@xxxxxxxxxx>
Cc: IETF <ietf@xxxxxxxx>
Subject: Re: Network Energy Management
There are publicatipns about changes to IP, TCP, Routing Protocols, Traffic Engineering, ... etc but I am not sure if these changes are implemented and deployed in service provider networks.
While I think this is an very interesting topic that I would like to follow, I am confused most of the proposal here may not related to network protocol.
I.e, I am not sure what IETF can help on this.
Best,
Tianran
-----Original Message-----
From: ietf [mailto:ietf-bounces@xxxxxxxx] On Behalf Of Hesham ElBakoury
Sent: Friday, August 5, 2022 7:12 AM
To: IETF <ietf@xxxxxxxx>
Subject: Network Energy Management
There has been some discussions in IETF 114 about how to reduce the network energy consumption and carbon footprint. Most of the energy-aware routing and traffic engineering publications that I have seen rely on powering down network elements such as interfaces,
line cards and routers to save power. The problems with this approach are: 1) to power up these elements when they are needed may take long time which may cause undesirable service disruption, and 2) network operators may not trust routing and traffic engineering
software to power down and up these elements without operator intervention.
To address these problems we may do one of the following:
1- Do not power down any network element, and try some other way to reduce energy such as adjusting the cooling level based on network load.
2- Do not power down any network element, but put the element in low power idle state to consume least amount of power while it is not used to forward traffic. In this state it is quicker to bring the element into fully operational state. This solution may
require hardware support.
3- Use traffic analysis and modeling techniques perhaps with AI/ML algorithms to predict which elements to power down/up and when, in such a way to avoid service disruption.
4- Use renewable energy, store it in the router and return back to the energy source the energy that is not used so that someone else can use it.
5- If you have other approaches, please let us know.
In all these approaches we need to instrument the network to monitor its traffic loading and energy consumption.
Comments ?
Hesham
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