update documents

data/draft-aft-ai-traffic-00.yaml

@@ -0,0 +1,173 @@
+---
+schema-version: v1.2.3
+id: draft-aft-ai-traffic-00
+title:
+- content: 'Handling inter-DC/Edge AI-related network traffic: Problem statement'
+  language:
+  - en
+  script:
+  - Latn
+  format: text/plain
+link:
+- content: https://datatracker.ietf.org/doc/html/draft-aft-ai-traffic-00
+  type: src
+type: standard
+docid:
+- id: draft-aft-ai-traffic-00
+  type: Internet-Draft
+  primary: true
+- id: I-D.aft-ai-traffic
+  type: IETF
+  scope: anchor
+docnumber: I-D.aft-ai-traffic
+date:
+- type: published
+  value: '2024-10-09'
+contributor:
+- person:
+    name:
+      given:
+        forename:
+        - content: Antoine
+          language:
+          - en
+        - language:
+          - en
+          initial: A
+        formatted_initials:
+          content: A.
+          language:
+          - en
+      surname:
+        content: Fressancourt
+        language:
+        - en
+      completename:
+        content: Antoine Fressancourt
+        language:
+        - en
+    affiliation:
+    - organization:
+        name:
+        - content: Huawei Technologies France S.A.S.U.
+  role:
+  - type: author
+- person:
+    name:
+      given:
+        forename:
+        - content: Luigi
+          language:
+          - en
+        - language:
+          - en
+          initial: L
+        formatted_initials:
+          content: L.
+          language:
+          - en
+      surname:
+        content: Iannone
+        language:
+        - en
+      completename:
+        content: Luigi Iannone
+        language:
+        - en
+    affiliation:
+    - organization:
+        name:
+        - content: Huawei Technologies France S.A.S.U.
+  role:
+  - type: author
+- person:
+    name:
+      given:
+        forename:
+        - content: Zhe
+          language:
+          - en
+        - language:
+          - en
+          initial: Z
+        formatted_initials:
+          content: Z.
+          language:
+          - en
+      surname:
+        content: Lou
+        language:
+        - en
+      completename:
+        content: Zhe Lou
+        language:
+        - en
+    affiliation:
+    - organization:
+        name:
+        - content: Huawei Technologies Duesseldorf GmbH
+  role:
+  - type: author
+- person:
+    name:
+      given:
+        forename:
+        - content: Dirk
+          language:
+          - en
+        - language:
+          - en
+          initial: D
+        formatted_initials:
+          content: D.
+          language:
+          - en
+      surname:
+        content: Trossen
+        language:
+        - en
+      completename:
+        content: Dirk Trossen
+        language:
+        - en
+    affiliation:
+    - organization:
+        name:
+        - content: Huawei Technologies Duesseldorf GmbH
+  role:
+  - type: author
+version:
+- draft: '00'
+revdate: '2024-10-09'
+language:
+- en
+script:
+- Latn
+abstract:
+- content: "<p>The growth in terms of number of parameters of LLM models as well as
+    the need to use or train those models with private or protected data will require
+    service providers operating LLM-based services to cooperate to train, specialize
+    or serve LLM-based services accross datacenters. Given their structure, the number
+    of parameters they incorporate and the collective communication librairies they
+    are built with, LLM training and inference (or serving) network traffic has specific
+    characteristics. In that regard, understanding the specificities of AI-related
+    workloads is critical to determine how to operate AI-based services in a federated
+    setting across datacenters.</p>"
+  language:
+  - en
+  script:
+  - Latn
+  format: text/html
+series:
+- type: main
+  title:
+    content: Internet-Draft
+    language:
+    - en
+    script:
+    - Latn
+    format: text/plain
+  number: draft-aft-ai-traffic-00
+doctype: internet-draft
+ext:
+  schema-version: v1.0.1

data/draft-aft-ai-traffic.yaml

@@ -0,0 +1,42 @@
+---
+schema-version: v1.2.3
+id: draft-aft-ai-traffic
+title:
+- content: 'Handling inter-DC/Edge AI-related network traffic: Problem statement'
+  language:
+  - en
+  script:
+  - Latn
+  format: text/plain
+docid:
+- id: draft-aft-ai-traffic
+  type: Internet-Draft
+  primary: true
+abstract:
+- content: "<p>The growth in terms of number of parameters of LLM models as well as
+    the need to use or train those models with private or protected data will require
+    service providers operating LLM-based services to cooperate to train, specialize
+    or serve LLM-based services accross datacenters. Given their structure, the number
+    of parameters they incorporate and the collective communication librairies they
+    are built with, LLM training and inference (or serving) network traffic has specific
+    characteristics. In that regard, understanding the specificities of AI-related
+    workloads is critical to determine how to operate AI-based services in a federated
+    setting across datacenters.</p>"
+  language:
+  - en
+  script:
+  - Latn
+  format: text/html
+relation:
+- type: includes
+  bibitem:
+    id: draft-aft-ai-traffic-00
+    docid:
+    - id: draft-aft-ai-traffic-00
+      type: Internet-Draft
+      primary: true
+    formattedref:
+      content: draft-aft-ai-traffic-00
+      format: text/plain
+ext:
+  schema-version: v1.0.1

data/draft-ietf-lsvr-bgp-spf-36.yaml

@@ -167,6 +167,16 @@ relation:
     formattedref:
       content: draft-ietf-lsvr-bgp-spf-03
       format: text/plain
+- type: updatedBy
+  bibitem:
+    id: draft-ietf-lsvr-bgp-spf-37
+    docid:
+    - id: draft-ietf-lsvr-bgp-spf-37
+      type: Internet-Draft
+      primary: true
+    formattedref:
+      content: draft-ietf-lsvr-bgp-spf-37
+      format: text/plain
 series:
 - type: main
   title: