[irtf-discuss] Re: [E-impact] Re: [Green] Network Equipment Energy Efficiency Metric

Hesham ElBakoury <helbakoury@gmail.com> Thu, 14 November 2024 13:21 UTC

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From: Hesham ElBakoury <helbakoury@gmail.com>
Date: Thu, 14 Nov 2024 05:21:29 -0800
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To: Mark Butcher <mark@posetiv.co.uk>
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CC: Dean Bogdanovic <ivandean@gmail.com>, Michael Richardson <mcr+ietf@sandelman.ca>, green@ietf.org, E-Impact IETF <e-impact@ietf.org>, irtf-discuss@irtf.org
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Subject: [irtf-discuss] Re: [E-impact] Re: [Green] Network Equipment Energy Efficiency Metric
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I agree with you. But anyone is using it? and how to use it per components
such as SFP?

Hesham

On Thu, Nov 14, 2024, 5:07 AM Mark Butcher <mark@posetiv.co.uk> wrote:

> SCI is OK as a concept but is 100% reliant on the underlying data being
> fed into it.
>
> Thanks
>
>
> Mark Butcher
> *Director*
> *Posetiv Cloud Ltd*
>
> e - mark@posetiv.co.uk
> m - 44 (0)7746 189321
>
> On 14 Nov 2024, at 12:14, Hesham ElBakoury <helbakoury@gmail.com> wrote:
>
> 
> Hi Mark,
> Did you look at SCI (Software Carbon Intensity) metric which is developed
> by Green Software Foundation and standardized by ISO [1]. It  can be
> defined for any unit including a user.
>
> The equation to calculate an SCI score is elegantly simple. This
> simplicity means it can be applied in a number of different scenarios.
>
> [image: alt_text]
>
> SCI = ((E *I) + M) per R
>
> E = Energy consumed by a software system I = Location-based marginal
> carbon emissions*M = Embodied emissions of a software system.* R =
> Functional unit (e.g. carbon per additional user, API-call, ML job, etc)
>
> I am wondering who is using it?
> Hesham
> [1]
> https://learn.greensoftware.foundation/measurement/#:~:text=The%20Software%20Carbon%20Intensity%20(SCI)%20specification%20is%20a%20methodology%20developed,cars%20they%20produce%20every%20year
> .
>
> On Tue, Nov 12, 2024, 10:27 AM Mark Butcher <mark@posetiv.co.uk> wrote:
>
>> Hello!
>>
>>
>>
>> I’m definitely never going to claim to be a grid expert, but…
>> understanding the grid’s dynamics, especially active, reactive, and
>> apparent power is definitely essential if the objective is to get a better
>> handle on power usage across networks. It’s obvs. not just about energy
>> efficiency; translating this into carbon emissions gets even more critical
>> when you consider how different power sources impact the grid's overall
>> carbon intensity. I’ve had some interesting chats with operators this year
>> around how they are planning to move from supply side to demand side
>> shaping.
>>
>>
>>
>> I don’t envy the Grid operators facing the balancing act between cost,
>> stability, emissions targets, and resilience (especially as the subject of
>> renewables come into play). Getting even vaguely accurate carbon intensity
>> metrics from them isn’t easy and there’s lot of sweeping assumptions.
>> What’s your view on the regional info shared by operators like the National
>> Grid? I don’t think it’s perfect but it’s at least more accurate than a
>> national average as it reflects their understanding of the flows/mix.
>>
>>
>>
>> Starting with simpler elements, like SFPs, and then scaling up to more
>> complex topologies makes sense. Tracking energy consumption at this
>> granular level, from individual components up to entire network sections,
>> could provide the data points needed to make informed decisions on reducing
>> emissions, rather than just measuring usage (if we assume we can use
>> intensity metrics from the operators).
>>
>>
>>
>> Do you think breaking it down into energy consumption at the element,
>> group, and network levels would give insights we could actually use and
>> more importantly to act on? Or is this overkill without an agreed
>> structure/approach on what to do with the data and how to interpret it?
>>
>>
>>
>> Have you got any good examples where you’ve seen this work? I’m doing a
>> lot of work in data centres on this subject and the networks teams are
>> often excluded because of the complexity of their operations (outside of
>> core DC networks).
>>
>>
>>
>> Looking forward to discussing this further! I personally believe there’s
>> definitely a lot we can do. It would also be good to consider how the data
>> that’s collated can be rolled into the reporting within IT and the wider
>> business.
>>
>>
>>
>> Thanks
>>
>>
>>
>> Mark
>>
>>
>>
>>
>>
>>
>>
>> *From: *Dean Bogdanovic <ivandean@gmail.com>
>> *Date: *Tuesday, 12 November 2024 at 17:20
>> *To: *Mark Butcher <mark@posetiv.co.uk>
>> *Cc: *Michael Richardson <mcr+ietf@sandelman.ca>, green@ietf.org <
>> green@ietf.org>, E-Impact IETF <e-impact@ietf.org>, irtf-discuss@irtf.org
>> <irtf-discuss@irtf.org>
>> *Subject: *Re: [Green] [E-impact] Network Equipment Energy Efficiency
>> Metric
>>
>> I’m really curious how many people understand how electrical grid
>> operates,
>>
>> the difference between active, reactive and apparent power in electrical
>> grid. And how the grip operators are balancing power plants to maintain the
>> needed power levels, how the operators decide between economic dispatch,
>> grid stability and frequency regulation, environmental regulations and
>> emissions , operational flexibility at the power plants etc.
>> Until we do, I would not speak about CO2 emissions and other complex
>> energy and traffic engineering relations.
>>
>> Lets first figure out how to report energy consumption by the networks,
>> from very basic power consumers (SFPs) to more complex, like topologies.
>> And provide the ability to provide the energy consumption information about
>> an element, group of elements, part of network or even whole network to
>> people who will know what to do with the info.
>>
>> Dean
>>
>> On 12 Nov 2024, at 14:59, Mark Butcher wrote:
>>
>> What’s interesting is seeing how kWh/GB is so variable – either based on
>> network demand, the reality of the power curve and most importantly for me,
>> when translated into CO2e how the variability massively increases (time and
>> location)
>>
>>
>>
>>
>>
>> *From:* Michael Richardson <mcr+ietf@sandelman.ca>
>> *Date:* Tuesday, 12 November 2024 at 14:32
>> *To:* green@ietf.org <green@ietf.org>, E-Impact IETF <e-impact@ietf.org>,
>> irtf-discuss@irtf.org <irtf-discuss@irtf.org>
>> *Subject:* [Green] Re: [E-impact] Network Equipment Energy Efficiency
>> Metric
>>
>>
>> Is is useful for network planners to know kWh/peak-GB for an entire
>> infrastructure?
>>
>> This doesn't try to model reaction of network equipment to increased
>> flows,
>> but rather to model how infrastructure grows to accomodate higher peak
>> loads?
>>
>> There is also an induced demand issue.  Networks grow when they fill,
>> assuming there is revenue to support it.  This is akin to transportation:
>>       https://www.vtpi.org/gentraf.pdf
>>
>> --
>> Michael Richardson <mcr+IETF@sandelman.ca>, Sandelman Software Works
>>  -= IPv6 IoT consulting =-                      *I*LIKE*TRAINS*
>>
>> _______________________________________________
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>>
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>> To unsubscribe send an email to e-impact-leave@ietf.org
>>
>