Document changes urn:uuid:c1c013c3-641e-5c22-8174-168052b8aa36 2026-05-16T23:42:57.774987+00:00 urn:datatracker-ietf-org:event:1143489 2026-05-15T11:51:13.567441+00:00 2026-05-15T11:51:13.567441+00:00 Junyi Shao New version available: <b>draft-sun-nmrg-hybrid-switching-14.txt</b> new_revision none active idexists The fast increase in traffic volumn within and outside Datacenters is placing an unprecendented challenge on the underline network, in both the capacity it can provide, and the way it delivers traffic. When a large portion of network traffic is contributed by large flows, providing high capacity and slow to change optical circuit switching along side fine-granular packet services may potentially improve network utility and reduce both CAPEX and OpEX. This gives rise to the concept of hybrid switching - a paradigm that seeks to make the best of packet and circuit switching. However, the full potential of hybrid switching networks (HSNs) can only be realized when such a network is optimally designed and operated, in the sense that "an appropriate amount of resource is used to handle an appropriate amount of traffic in both switching planes." The resource allocation problem in HSNs is in fact complex ineractions between three components: resource allocation between the two switching planes, traffic partitioning between the two switching planes, and the overall cost or performance constraints. In this memo, we explore the challenges of planning and operating hybrid switching networks, with a particular focus on the resource allocation problem, and provide a high-level model that may guide resource allocation in future hybrid switching networks. 14 urn:datatracker-ietf-org:event:1143488 2026-05-15T11:51:13.564922+00:00 2026-05-15T11:51:13.564922+00:00 (System) New version approved new_submission none active idexists urn:datatracker-ietf-org:event:1143483 2026-05-15T11:49:37.977098+00:00 2026-05-15T11:49:37.977098+00:00 (System) Request for posting confirmation emailed to previous authors: Junyi Shao <shaojunyi@sjtu.edu.cn>, Weiqiang Sun <sun.weiqiang@gmail.com>, Weisheng Hu <wshu@sjtu.edu.cn> new_submission none active idexists urn:datatracker-ietf-org:event:1143482 2026-05-15T11:49:37.523319+00:00 2026-05-15T11:49:37.523319+00:00 Junyi Shao Uploaded new revision new_submission none active idexists urn:datatracker-ietf-org:event:1142075 2026-05-07T02:42:31.303226+00:00 2026-05-07T02:42:31.303226+00:00 Shailesh Prabhu New version available: <b>draft-prabhu-nmrg-prompt-schema-llm-00.txt</b> new_revision none active idexists Large Language Models (LLMs) are increasingly used to assist network management tasks such as troubleshooting, intent translation, and automation. Network operations, however, rely on data from many vendors and sources: CLI output, configuration snippets, telemetry, alarms, and vendor-specific APIs. These inputs differ in format, structure, and semantics, which makes it difficult to present a consistent interface to an LLM. This document describes a framework for standardizing such multi-vendor inputs for LLM-assisted network management. Incoming messages from multi-vendor network elements are first handled by an Input Classifier, which determines the nature of each input and assigns it to one of three categories: performance, configuration, or response, using a hybrid approach (rule-based classification first, with escalation to a Small Language Model (SLM) when rules are insufficient). The classified input is then passed to the corresponding Structurer among the Performance Structurer, Configuration Structurer, and Response Structurer, each of which produces a normalized, structured representation (typically with SLM assistance and optional confidence scoring). That structured output is fed to a Prompt Schema Generator, which creates a structured, vendor-agnostic schema and supplies schema-aligned prompts to the central LLM. This document specifies the architecture and component roles for use in design and implementation. It does not define a wire protocol; it is published for informational purposes. 00 urn:datatracker-ietf-org:event:1142074 2026-05-07T02:42:31.301062+00:00 2026-05-07T02:42:31.301062+00:00 Shailesh Prabhu New version accepted (logged-in submitter: Shailesh Prabhu) new_submission none active idexists urn:datatracker-ietf-org:event:1142073 2026-05-07T02:41:10.747805+00:00 2026-05-07T02:41:10.747805+00:00 Shailesh Prabhu Uploaded new revision new_submission none active idexists