PS: There will be at least one more ALTO Hackathon project, which is the work Richard and the team are doing in deploying ALTO / TCN to CERN / LHCONE / ESnet. Kai, Jensen, would you like to register this other project to the wiki when you have a moment?
We would also like to encourage the leads of any other ALTO hackathon projects to also register their projects in the wiki: https://wiki.ietf.org/en/meeting/115/hackathon Thanks, Jordi ________________________________ From: alto <[email protected]> on behalf of Jordi Ros Giralt <[email protected]> Sent: Wednesday, October 5, 2022 11:32 To: [email protected] <[email protected]> Subject: [alto] IETF 115 Hackathon Project on ALTO WARNING: This email originated from outside of Qualcomm. Please be wary of any links or attachments, and do not enable macros. Hi all, I registered a Hackathon demo for the project we are doing around deploying ALTO in the Pacific Research Platform (PRP, https://pacificresearchplatform.org/) and its integration with GradientGraph to optimize application performance in the edge cloud. For this coming IETF 115, the demo will be running in emulation mode, with some components running in production in the PRP network. We expect this work to gradually evolve into one more ALTO production deployment (in addition to the other deployments that are being rolled out). This is an effort that involves different parties including members from this ALTO WG, as well as members from PRP, UCSD, Caltech, SCU, etc. If anybody is interested in participating, please let us know and kindly add yourself directly to the IETF wiki under the project "Optimizing XR Flows in the Edge Cloud Using ALTO and Bottleneck Structure Graphs": https://wiki.ietf.org/en/meeting/115/hackathon Thanks, Jordi with the IETF ALTO Hackathon Team -------- **Optimizing XR Flows in the Edge Cloud Using ALTO and Bottleneck Structure Graphs** - Champion(s) - Jordi Ros-Giralt (jros at qti.qualcomm.com) - Sruthi Yellamraju (yellamra at qti.qualcomm.com) - Ankita Bajaj (ankitab at qti.qualcomm.com) - Richard Yang (yry at cs.yale.edu) - John Graham (jjgraham @ eng.ucsd.edu) - Harvey Newman (newman at hep.caltech.edu) - Kai Gao (kaigao at scu.edu.cn) - Jensen Zhang (jingxuan.n.zhang at gmail.com) - Mahdi Soleimani (mahdi.soleimani at yale.edu) - Jacob Dunefsky (jacob.dunefsky at yale.edu) - Lauren Delwiche <lauren.delwiche at yale.edu) - Qin Wu (bill.wu at huawei.com) - Project info - Goal is to demonstrate how ALTO can provide the necessary network state visibility to allow an XR application make proper flow routing decisions, adjusting to changing congestion dynamics, and leveraging bottleneck structure analysis (https://dl.acm.org/doi/abs/10.1145/3452296.3472898) - Demo will be integrated and run in emulation mode, incorporating components including Mininet, ALTO, GradientGraph (G2), Segment Routing, XR, and a 5G network topology. - Initial integration tests in the Pacific Research Platform (PRP) production network (https://pacificresearchplatform.org/) - Project management and repos: - Project management: https://github.com/orgs/openalto/projects/1 - Repo: https://github.com/openalto/ietf-hackathon - Meeting minutes: https://github.com/ietf-wg-alto/wg-materials/blob/main/meetings-ietf-alto/ietf-openalto-2022.md - Specifications: - https://datatracker.ietf.org/doc/rfc7285/ - https://datatracker.ietf.org/doc/draft-ietf-alto-path-vector/ - https://datatracker.ietf.org/doc/draft-ietf-alto-unified-props-new/ - https://datatracker.ietf.org/doc/draft-ietf-alto-performance-metrics/
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