An SR-TE based Solution For Computing-Aware Traffic Steering
draft-fu-cats-sr-te-based-solution-02
| Document | Type |
Expired Internet-Draft
(individual)
Expired & archived
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|---|---|---|---|
| Authors | 付华楷 , Daniel Huang , Liwei Ma , Wei Duan | ||
| Last updated | 2025-01-02 (Latest revision 2024-07-01) | ||
| RFC stream | (None) | ||
| Intended RFC status | (None) | ||
| Formats | |||
| Stream | Stream state | (No stream defined) | |
| Consensus boilerplate | Unknown | ||
| RFC Editor Note | (None) | ||
| IESG | IESG state | Expired | |
| Telechat date | (None) | ||
| Responsible AD | (None) | ||
| Send notices to | (None) |
This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
Abstract
Computing-aware traffic steering (CATS) is a traffic engineering approach [I-D.ietf-teas-rfc3272bis] that takes into account the dynamic nature of computing resources and network state to optimize service-specific traffic forwarding towards a given service instance. Various relevant metrics may be used to enforce such computing-aware traffic steering policies.It is critical to meet different types of computing-aware traffic steering requirements without disrupting the existing network architecture. In this context, this document proposes a computing-aware traffic steering solution based on the SR- TE infrastructure of the current traffic engineering technology to reduce device resource consumption and investment and meet the requirements for computing-aware traffic steering of network devices.
Authors
付华楷
Daniel Huang
Liwei Ma
Wei Duan
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)