Dynamic Network Adjustments for Cloud Service Scaling
draft-dunbar-neotec-net-adjust-cloud-scaling-02
| Document | Type |
Expired Internet-Draft
(individual)
Expired & archived
|
|
|---|---|---|---|
| Authors | Linda Dunbar , Chongfeng Xie , Kausik Majumdar , Bo Wu , Qiang Sun | ||
| Last updated | 2025-07-28 (Latest revision 2025-01-24) | ||
| 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This Internet-Draft is no longer active.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
This document defines a framework for dynamically adjusting network- wide load balancing policies in response to cloud service scaling events, addressing key challenges faced by Telecom Cloud Service Providers (TCSPs). As cloud services scale, increase traffic, or relocate workloads across distributed edge and core clouds, network policies must adapt in real time to maintain optimal performance and ensure compliance with strict service level objectives (SLOs). Current manual network adjustments are often slow, error prone, and insufficient for the dynamic nature of cloud environments.
Authors
Linda Dunbar
Chongfeng Xie
Kausik Majumdar
Bo Wu
Qiang Sun
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)