Re: [Coin] Toward Distributed In-Network Computing

Hesham ElBakoury <helbakoury@gmail.com> Tue, 09 January 2024 17:34 UTC

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From: Hesham ElBakoury <helbakoury@gmail.com>
Date: Tue, 09 Jan 2024 09:33:49 -0800
Message-ID: <CAFvDQ9q8LyFD=XgT1bAUzReU_PDRWWG8jKXbJXN=kcKBMd2r1Q@mail.gmail.com>
To: Marie-Jose Montpetit <marie@mjmontpetit.com>
Cc: coin <coin@irtf.org>
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Subject: Re: [Coin] Toward Distributed In-Network Computing
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Thanks Marie.
Hesham

On Tue, Jan 9, 2024, 9:32 AM Marie-Jose Montpetit <marie@mjmontpetit.com>
wrote:

> Thank you Hensham. We are tinking to skip Australia but will keep your
> recommendation for our next meeting..
>
> mjm
> Marie-Jose Montpetit, Ing. Ph.D.
> marie@mjmontpetit.com
>
>
>
>
> On Jan 9, 2024, at 12:28 PM, Hesham ElBakoury <helbakoury@gmail.com>
> wrote:
>
> This paper was presented in CoNext 2023
> "*DINC: Toward Distributed In-Network Computing *[
> https://dl.acm.org/doi/abs/10.1145/3629136]
>
> I suggest to invite Changgang Zheng (University of Oxford) to present "*Toward
> Distributed In-Network Computing*" to COINRG.
>
> *Abstract*: *Deploying in-network computing applications in programmable
> network devices faces challenges in scalability due to resource
> constraints. This presentation introduces DINC, a distributed deployment
> framework used to scale in-network computing models. The framework
> generates deployment strategies, overcomes resource constraints and
> provides functionality guarantees across a network. DINC uses
> multi-objective optimization to provide a deployment strategy, slicing P4
> programs accordingly. DINC was evaluated using seven different workloads on
> both data center and wide-area network topologies, demonstrating*
> feasibility and scalability, providing efficient distribution plans within
> seconds. DINC is open-source and publicly available via GitHub.
>
> Hesham
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